{
  "results": [
    {
      "id": "069e4e6515abe135c6253e1ddd7fffac",
      "title": "Software Architect",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 245000,
      "salary_max": 325000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 245000,
      "base_salary_max": 325000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-03T01:00:00.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=6012016004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Architect San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform. Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. About the Role SambaNova is hiring a Software Architect for the SambaStack platform. We help enterprises and service providers host their own AI inference platforms , powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. As a Software Architect",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9633ff297aa1f064e4",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "069e4e6515abe135c6253e1ddd7fffac",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Architect San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform. Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. About the Role SambaNova is hiring a Software Architect for the SambaStack platform. We help enterprises and service providers host their own AI inference platforms , powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. As a Software Architect",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:069e4e6515abe135c6253e1ddd7fffac:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5dd6e34fbe84ca8264",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "069e4e6515abe135c6253e1ddd7fffac",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:069e4e6515abe135c6253e1ddd7fffac:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.72c6699b80db9c0a34",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "069e4e6515abe135c6253e1ddd7fffac",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:069e4e6515abe135c6253e1ddd7fffac:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.ae98ff2d18ba10c553",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "069e4e6515abe135c6253e1ddd7fffac",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:b2a5f4d4b9c67c53d1b86686",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.618506e18277e30794",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "069e4e6515abe135c6253e1ddd7fffac",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.79db6f0ec98583b49a",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "069e4e6515abe135c6253e1ddd7fffac",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "71f1d78168aae45360855f8973f52667",
      "title": "Software Engineer",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-03-03T16:21:54.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5817837004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role SambaNova is hiring Software Engineers for SambaNova's SambaStack platform. We are helping enterprises and service providers host their own AI inference platforms for end users, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. As a Software Engineer on the SambaStack team, you will further improve performance, scalability, and reliability while introducing new features and capabilities to our state-of-the-art inference serving platform. This is a high-impact, high-visibility role working at the intersection of AI infrastructure, enterprise software, and developer experience. Key Responsibilities - Ensure the continued stability, scalability, and performance of our AI inference platform . - Collaborate with",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 4,
      "years_experience_max": 8,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8eee71f57045dfe009",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "71f1d78168aae45360855f8973f52667",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role SambaNova is hiring Software Engineers for SambaNova's SambaStack platform. We are helping enterprises and service providers host their own AI inference platforms for end users, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. As a Software Engineer on the SambaStack team, you will further improve performance, scalability, and reliability while introducing new features and capabilities to our state-of-the-art inference serving platform. This is a high-impact, high-visibility role working at the intersection of AI infrastructure, enterprise software, and developer experience. Key Responsibilities - Ensure the continued stability, scalability, and performance of our AI inference platform . - Collaborate with",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:71f1d78168aae45360855f8973f52667:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.031af19a025fee47d9",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "71f1d78168aae45360855f8973f52667",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:71f1d78168aae45360855f8973f52667:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.34f788178b540a1ace",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "71f1d78168aae45360855f8973f52667",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:71f1d78168aae45360855f8973f52667:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.1f63e4af405ccf3870",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "71f1d78168aae45360855f8973f52667",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:509454ea14888d1cd1d968f0",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.58bc347d4ea2149bad",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "71f1d78168aae45360855f8973f52667",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ed2cb20aed7ebc034d",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "71f1d78168aae45360855f8973f52667",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d58f9b5afaf84e1580217e3a00d4241e",
      "title": "Director, Software Engineering",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 245000,
      "salary_max": 325000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 245000,
      "base_salary_max": 325000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-03T00:00:01.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=6011958004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Director, Software Engineering San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform. Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. About the Role SambaNova is hiring a Software Engineering Manager for the SambaStack platform. We help enterprises and service providers host their own AI inference platforms , powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. As an",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.870b4162eb5a7bf5cc",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d58f9b5afaf84e1580217e3a00d4241e",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director, Software Engineering San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform. Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. About the Role SambaNova is hiring a Software Engineering Manager for the SambaStack platform. We help enterprises and service providers host their own AI inference platforms , powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. As an",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:d58f9b5afaf84e1580217e3a00d4241e:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2c0eeed211864a11cf",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d58f9b5afaf84e1580217e3a00d4241e",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:d58f9b5afaf84e1580217e3a00d4241e:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5c14fdb4f0719c5798",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d58f9b5afaf84e1580217e3a00d4241e",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:d58f9b5afaf84e1580217e3a00d4241e:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.2e6fc5feb0b3bb42d5",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d58f9b5afaf84e1580217e3a00d4241e",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:045097f7bbfbc01fafe2feed",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ce245e3ff83a750341",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d58f9b5afaf84e1580217e3a00d4241e",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ea7aee07566efb38b2",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d58f9b5afaf84e1580217e3a00d4241e",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "356286f90c625bbf36920cc65b714250",
      "title": "Technical Program Manager, Software Engineering",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 170000,
      "salary_max": 240000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 170000,
      "base_salary_max": 240000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-03-03T07:40:15.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5817488004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Technical Program Manager, Software Engineering San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Job Summary We are seeking a highly capable and dynamic Technical Program Manager (TPM) to drive product delivery at Sambanova Systems. You will play a critical role in planning, driving execution, and orchestrating multiple workstreams and dependencies to drive engineering velocity and transparency towards delivering customer product releases Responsibilities - Lead various Software programs and initiatives in a fast moving organization across different locations covering a range of areas. - Work closely with engineers, product managers and other stakeholders to define and prioritize Product features and capabilities. - Put together a comprehensive plan that encompasses all the diverse efforts that are in motion within the teams and streamline the program to improve visibility and scalability. - Provide hands-on support from",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9d0397d034a6b85a7f",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "356286f90c625bbf36920cc65b714250",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Technical Program Manager, Software Engineering San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Job Summary We are seeking a highly capable and dynamic Technical Program Manager (TPM) to drive product delivery at Sambanova Systems. You will play a critical role in planning, driving execution, and orchestrating multiple workstreams and dependencies to drive engineering velocity and transparency towards delivering customer product releases Responsibilities - Lead various Software programs and initiatives in a fast moving organization across different locations covering a range of areas. - Work closely with engineers, product managers and other stakeholders to define and prioritize Product features and capabilities. - Put together a comprehensive plan that encompasses all the diverse efforts that are in motion within the teams and streamline the program to improve visibility and scalability. - Provide hands-on support from",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:356286f90c625bbf36920cc65b714250:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.def7c52bfda8faf991",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "356286f90c625bbf36920cc65b714250",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Technical Program Manager, Software Engineering San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Job Summary We are seeking a highly capable and dynamic Technical Program Manager (TPM) to drive product delivery at Sambanova Systems. You will play a critical role in planning, driving execution, and orchestrating multiple workstreams and dependencies to drive engineering velocity and transparency towards delivering customer product releases Responsibilities - Lead various Software programs and initiatives in a fast moving organization across different locations covering a range of areas. - Work closely with engineers, product managers and other stakeholders to define and prioritize Product features and capabilities. - Put together a comprehensive plan that encompasses all the diverse efforts that are in motion within the teams and streamline the program to improve visibility and scalability. - Provide hands-on support from",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:356286f90c625bbf36920cc65b714250:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6513a26119cf3801cf",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "356286f90c625bbf36920cc65b714250",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:356286f90c625bbf36920cc65b714250:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.afcbc521f64e5576c9",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "356286f90c625bbf36920cc65b714250",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:356286f90c625bbf36920cc65b714250:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.cbb422e429e363559e",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "356286f90c625bbf36920cc65b714250",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:b3ac29fbaf74936685ea032e",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1e2df574178f958043",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "356286f90c625bbf36920cc65b714250",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.63ce68fd15c6c9c1d7",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "356286f90c625bbf36920cc65b714250",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d2a6cd9c7816a83ad1f337708aed097f",
      "title": "Senior AI Systems Performance Engineer",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2025-11-21T09:51:31.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5719052004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Systems Performance Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the role We are seeking a talented and driven ML performance engineer to optimize and scale state-of-the-art foundation models on SambaNova's reconfigurable dataflow platform. You'll work hands-on with some of the most advanced models in the world - such as DeepSeek R1, GPT OSS, and other frontier architectures - to push the limits of throughput, latency, and efficiency. In this role, you'll bridge the gap between deep learning and systems performance, collaborating across compiler, runtime, and hardware layers to deliver world-record performance for large-scale AI inference. Responsibilities - Bring up and optimize cutting-edge foundation models (e.g., DeepSeek, Llama, Qwen, and others) on the SambaNova platform through the SambaNova software stack. - Profile and enhance model performance across compiler, runtime,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.66640be36103c86d29",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d2a6cd9c7816a83ad1f337708aed097f",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior AI Systems Performance Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the role We are seeking a talented and driven ML performance engineer to optimize and scale state-of-the-art foundation models on SambaNova's reconfigurable dataflow platform. You'll work hands-on with some of the most advanced models in the world - such as DeepSeek R1, GPT OSS, and other frontier architectures - to push the limits of throughput, latency, and efficiency. In this role, you'll bridge the gap between deep learning and systems performance, collaborating across compiler, runtime, and hardware layers to deliver world-record performance for large-scale AI inference. Responsibilities - Bring up and optimize cutting-edge foundation models (e.g., DeepSeek, Llama, Qwen, and others) on the SambaNova platform through the SambaNova software stack. - Profile and enhance model performance across compiler, runtime,",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:d2a6cd9c7816a83ad1f337708aed097f:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.912968155a986cb345",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d2a6cd9c7816a83ad1f337708aed097f",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior AI Systems Performance Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the role We are seeking a talented and driven ML performance engineer to optimize and scale state-of-the-art foundation models on SambaNova's reconfigurable dataflow platform. You'll work hands-on with some of the most advanced models in the world - such as DeepSeek R1, GPT OSS, and other frontier architectures - to push the limits of throughput, latency, and efficiency. In this role, you'll bridge the gap between deep learning and systems performance, collaborating across compiler, runtime, and hardware layers to deliver world-record performance for large-scale AI inference. Responsibilities - Bring up and optimize cutting-edge foundation models (e.g., DeepSeek, Llama, Qwen, and others) on the SambaNova platform through the SambaNova software stack. - Profile and enhance model performance across compiler, runtime,",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:d2a6cd9c7816a83ad1f337708aed097f:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d4f6ebdc7f41f878b9",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d2a6cd9c7816a83ad1f337708aed097f",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:d2a6cd9c7816a83ad1f337708aed097f:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fce9d967f08c16bc45",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d2a6cd9c7816a83ad1f337708aed097f",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:d2a6cd9c7816a83ad1f337708aed097f:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.4fafdd4c36a8b5f899",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d2a6cd9c7816a83ad1f337708aed097f",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior AI Systems Performance Engineer",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:d2a6cd9c7816a83ad1f337708aed097f:title:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.b62eb426625cb6ce39",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d2a6cd9c7816a83ad1f337708aed097f",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:5e90b7f5b34b7bfd50b2a4fc",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6336c28b6b898926c7",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d2a6cd9c7816a83ad1f337708aed097f",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.13ff7beac5c34b718e",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "d2a6cd9c7816a83ad1f337708aed097f",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior AI Systems Performance Engineer",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "8d1cbccf16ff4da82bc8ffda2c1b2e45",
      "title": "Senior Technical Program Manager",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-02-26T19:26:27.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5813960004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Technical Program Manager San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Job Summary We are seeking a highly capable and dynamic Technical Program Manager (TPM) to drive product delivery at Sambanova Systems. You will play a critical role in planning, driving execution, and orchestrating multiple workstreams and dependencies to drive engineering velocity and transparency towards delivering customer product releases Responsibilities - Lead various Software programs and initiatives in a fast moving organization across different locations covering a range of areas. - Work closely with engineers, product managers and other stakeholders to define and prioritize Product features and capabilities. - Put together a comprehensive plan that encompasses all the diverse efforts that are in motion within the teams and streamline the program to improve visibility and scalability. - Provide hands-on support from development",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c4c24644cbef2df191",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8d1cbccf16ff4da82bc8ffda2c1b2e45",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Technical Program Manager San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Job Summary We are seeking a highly capable and dynamic Technical Program Manager (TPM) to drive product delivery at Sambanova Systems. You will play a critical role in planning, driving execution, and orchestrating multiple workstreams and dependencies to drive engineering velocity and transparency towards delivering customer product releases Responsibilities - Lead various Software programs and initiatives in a fast moving organization across different locations covering a range of areas. - Work closely with engineers, product managers and other stakeholders to define and prioritize Product features and capabilities. - Put together a comprehensive plan that encompasses all the diverse efforts that are in motion within the teams and streamline the program to improve visibility and scalability. - Provide hands-on support from development",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:8d1cbccf16ff4da82bc8ffda2c1b2e45:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d282cf9ac649e0c947",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8d1cbccf16ff4da82bc8ffda2c1b2e45",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Technical Program Manager San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Job Summary We are seeking a highly capable and dynamic Technical Program Manager (TPM) to drive product delivery at Sambanova Systems. You will play a critical role in planning, driving execution, and orchestrating multiple workstreams and dependencies to drive engineering velocity and transparency towards delivering customer product releases Responsibilities - Lead various Software programs and initiatives in a fast moving organization across different locations covering a range of areas. - Work closely with engineers, product managers and other stakeholders to define and prioritize Product features and capabilities. - Put together a comprehensive plan that encompasses all the diverse efforts that are in motion within the teams and streamline the program to improve visibility and scalability. - Provide hands-on support from development",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:8d1cbccf16ff4da82bc8ffda2c1b2e45:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6a9bffb6d14483e26a",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8d1cbccf16ff4da82bc8ffda2c1b2e45",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:8d1cbccf16ff4da82bc8ffda2c1b2e45:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ca32854ba354820616",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8d1cbccf16ff4da82bc8ffda2c1b2e45",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:8d1cbccf16ff4da82bc8ffda2c1b2e45:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.83867a493af99db63d",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8d1cbccf16ff4da82bc8ffda2c1b2e45",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:4c28605169565403e42c6838",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.061b9ae72580aee893",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8d1cbccf16ff4da82bc8ffda2c1b2e45",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.44d1cd2658a6fb90bc",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8d1cbccf16ff4da82bc8ffda2c1b2e45",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3db09fbf8087c91eb755cbc94ca7bcad",
      "title": "Principal Compiler Engineer - ML Systems",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 210000,
      "salary_max": 280000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 210000,
      "base_salary_max": 280000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2025-11-22T00:35:36.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5719056004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Compiler Engineer - ML Systems San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About The Role The Principal Compiler Engineer - ML Systems position will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova. It is a critical role responsible for driving innovation in compiler infrastructure and optimization algorithms that enable state-of-the-art ML model performance on the SambaNova platform. This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities - Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution. - Work with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions. - Develop, integrate, and implement products. -",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.52d4606a300e7ead75",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3db09fbf8087c91eb755cbc94ca7bcad",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Compiler Engineer - ML Systems San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About The Role The Principal Compiler Engineer - ML Systems position will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova. It is a critical role responsible for driving innovation in compiler infrastructure and optimization algorithms that enable state-of-the-art ML model performance on the SambaNova platform. This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities - Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution. - Work with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions. - Develop, integrate, and implement products. -",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:3db09fbf8087c91eb755cbc94ca7bcad:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fc7af39b2b514a8787",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3db09fbf8087c91eb755cbc94ca7bcad",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Compiler Engineer - ML Systems San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About The Role The Principal Compiler Engineer - ML Systems position will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova. It is a critical role responsible for driving innovation in compiler infrastructure and optimization algorithms that enable state-of-the-art ML model performance on the SambaNova platform. This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities - Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution. - Work with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions. - Develop, integrate, and implement products. -",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:3db09fbf8087c91eb755cbc94ca7bcad:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8ae8af03b61e017a40",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3db09fbf8087c91eb755cbc94ca7bcad",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:3db09fbf8087c91eb755cbc94ca7bcad:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fa22c619f5cca23f56",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3db09fbf8087c91eb755cbc94ca7bcad",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:3db09fbf8087c91eb755cbc94ca7bcad:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.2d976356ba051e4ea0",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3db09fbf8087c91eb755cbc94ca7bcad",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Principal Compiler Engineer - ML Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:3db09fbf8087c91eb755cbc94ca7bcad:title:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.ad6133e864c3ff8e18",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3db09fbf8087c91eb755cbc94ca7bcad",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:bf5bb5590e907182533d5200",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1b03d45bc93aee51c7",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3db09fbf8087c91eb755cbc94ca7bcad",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.0d2c9b4c455acb2510",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3db09fbf8087c91eb755cbc94ca7bcad",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Principal Compiler Engineer - ML Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "8ff9827522db54933f67103256852d76",
      "title": "Supply Chain Specialist",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "contract",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 110000,
      "salary_max": 150000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 110000,
      "base_salary_max": 150000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-03T19:00:01.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=6013330004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Supply Chain Specialist San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role: We are seeking a highly capable and experienced Supply Chain Analyst/Materials Manager to drive material readiness and operational execution. In this role, you will be the primary owner of the on-site and offsite inventory, responsible for tracking, driving supply, identifying and closing supply gaps. The ideal candidate is a detail oriented, hands-on and flexible, who can navigate the complexities of working within a small cross-functional team in a high-paced environment. Key Responsibilities: Inventory Management - Own the management of on and off-site production material to ensure organized storage and materials tracking. - Transact all inventory movements in ERP/MRP systems to account for inventory transfers, consumption, customer shipments, etc. - Maintain real-time visibility of stock levels across multiple locations using",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "operations",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.024fc824ac1734e2b3",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8ff9827522db54933f67103256852d76",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Supply Chain Specialist San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role: We are seeking a highly capable and experienced Supply Chain Analyst/Materials Manager to drive material readiness and operational execution. In this role, you will be the primary owner of the on-site and offsite inventory, responsible for tracking, driving supply, identifying and closing supply gaps. The ideal candidate is a detail oriented, hands-on and flexible, who can navigate the complexities of working within a small cross-functional team in a high-paced environment. Key Responsibilities: Inventory Management - Own the management of on and off-site production material to ensure organized storage and materials tracking. - Transact all inventory movements in ERP/MRP systems to account for inventory transfers, consumption, customer shipments, etc. - Maintain real-time visibility of stock levels across multiple locations using",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:8ff9827522db54933f67103256852d76:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c66653df47f8165143",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8ff9827522db54933f67103256852d76",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Supply Chain Specialist San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role: We are seeking a highly capable and experienced Supply Chain Analyst/Materials Manager to drive material readiness and operational execution. In this role, you will be the primary owner of the on-site and offsite inventory, responsible for tracking, driving supply, identifying and closing supply gaps. The ideal candidate is a detail oriented, hands-on and flexible, who can navigate the complexities of working within a small cross-functional team in a high-paced environment. Key Responsibilities: Inventory Management - Own the management of on and off-site production material to ensure organized storage and materials tracking. - Transact all inventory movements in ERP/MRP systems to account for inventory transfers, consumption, customer shipments, etc. - Maintain real-time visibility of stock levels across multiple locations using",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:8ff9827522db54933f67103256852d76:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6b063b9375d54ecf62",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8ff9827522db54933f67103256852d76",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:8ff9827522db54933f67103256852d76:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7c93b39c66e1ac5534",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8ff9827522db54933f67103256852d76",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:8ff9827522db54933f67103256852d76:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.ccfd6f9a17d39d42b7",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8ff9827522db54933f67103256852d76",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:ad3bc6c5255e362187629cb0",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.404f1b9ab1647c7076",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8ff9827522db54933f67103256852d76",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b866d795996e30a155",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "8ff9827522db54933f67103256852d76",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "fa09364c8246b0572115249d76773cc0",
      "title": "ML Features Solutions Engineer",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "Austin, Texas, United States; San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 200000,
      "salary_max": 270000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 200000,
      "base_salary_max": 270000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-03-04T16:18:28.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5819022004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "ML Features Solutions Engineer Austin, Texas, United States; San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role We are seeking an ML Features Solutions Engineer to join our Product and Solution Engineering team, driving the development and optimization of core ML features for enterprise deployment. This role combines deep ML expertise with hands-on engineering, working at the intersection of ML research and product development to deliver production-grade capabilities to our customers. This role is critical for accelerating ML feature development and bridging the gap between ML research and product engineering and will be driving the following: - Core ML Feature Development: Drive improvements to ML features including model optimization, inference performance, and feature enhancements. - Production-Ready Solutions: Build and deploy production-ready ML solutions for enterprise customers with focus on reliability and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "sales",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.027109b2e3915bd3be",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "fa09364c8246b0572115249d76773cc0",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "ML Features Solutions Engineer Austin, Texas, United States; San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role We are seeking an ML Features Solutions Engineer to join our Product and Solution Engineering team, driving the development and optimization of core ML features for enterprise deployment. This role combines deep ML expertise with hands-on engineering, working at the intersection of ML research and product development to deliver production-grade capabilities to our customers. This role is critical for accelerating ML feature development and bridging the gap between ML research and product engineering and will be driving the following: - Core ML Feature Development: Drive improvements to ML features including model optimization, inference performance, and feature enhancements. - Production-Ready Solutions: Build and deploy production-ready ML solutions for enterprise customers with focus on reliability and",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:fa09364c8246b0572115249d76773cc0:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c6ac1914e5d9a73254",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "fa09364c8246b0572115249d76773cc0",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:fa09364c8246b0572115249d76773cc0:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f7be9c52b8da9f4242",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "fa09364c8246b0572115249d76773cc0",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:fa09364c8246b0572115249d76773cc0:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.aa3bf70aacbd07b34e",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "fa09364c8246b0572115249d76773cc0",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:04963402141f08405bc76d35",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.04b50ed3e14b084e50",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "fa09364c8246b0572115249d76773cc0",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fa1e5662e970e28007",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "fa09364c8246b0572115249d76773cc0",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "11907cca4cc1c0df009baf6175312714",
      "title": "Senior Cloud Platform Engineer",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 245000,
      "salary_max": 325000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 245000,
      "base_salary_max": 325000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2025-11-21T09:34:46.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5719049004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Cloud Platform Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Systems Join the company that's building the future of AI computing. At SambaNova, we are disrupting the AI and high-performance computing space with our integrated hardware and software platform. Our DataScale systems and SambaFlow software are pushing the boundaries of what's possible with generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. The Role As a Senior Cloud Site Reliability Engineer (SRE) specializing in our AI Inferencing Service, you will be the guardian of its reliability, performance, and scalability. You will bridge the gap between software development and operations, applying an engineering mindset to solve operational challenges. Your primary focus will be ensuring our inference endpoints",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": true,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a600be010980346ceb",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "11907cca4cc1c0df009baf6175312714",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Cloud Platform Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Systems Join the company that's building the future of AI computing. At SambaNova, we are disrupting the AI and high-performance computing space with our integrated hardware and software platform. Our DataScale systems and SambaFlow software are pushing the boundaries of what's possible with generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. The Role As a Senior Cloud Site Reliability Engineer (SRE) specializing in our AI Inferencing Service, you will be the guardian of its reliability, performance, and scalability. You will bridge the gap between software development and operations, applying an engineering mindset to solve operational challenges. Your primary focus will be ensuring our inference endpoints",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:11907cca4cc1c0df009baf6175312714:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c3710813d1d13b0a46",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "11907cca4cc1c0df009baf6175312714",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Cloud Platform Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Systems Join the company that's building the future of AI computing. At SambaNova, we are disrupting the AI and high-performance computing space with our integrated hardware and software platform. Our DataScale systems and SambaFlow software are pushing the boundaries of what's possible with generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. The Role As a Senior Cloud Site Reliability Engineer (SRE) specializing in our AI Inferencing Service, you will be the guardian of its reliability, performance, and scalability. You will bridge the gap between software development and operations, applying an engineering mindset to solve operational challenges. Your primary focus will be ensuring our inference endpoints",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:11907cca4cc1c0df009baf6175312714:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7866a39e3859fc570c",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "11907cca4cc1c0df009baf6175312714",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:11907cca4cc1c0df009baf6175312714:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.97f4e92ef4398d67cc",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "11907cca4cc1c0df009baf6175312714",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:11907cca4cc1c0df009baf6175312714:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.051814570be5b34041",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "11907cca4cc1c0df009baf6175312714",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:6e5c63a41e51d06899b763d5",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.037a01917551f55dc4",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "11907cca4cc1c0df009baf6175312714",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b8ec4513dc8075a430",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "11907cca4cc1c0df009baf6175312714",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "341f6af9f053bea1f0cc14b4a411222e",
      "title": "Software Engineer, ML Inference Performance",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-02-26T21:47:30.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5742971004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer, ML Inference Performance San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About The Role The Principal Compiler Engineer - ML Systems position will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova. It is a critical role responsible for driving innovation in compiler infrastructure and optimization algorithms that enable state-of-the-art ML model performance on the SambaNova platform. This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities - Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution. - Work with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions. - Develop, integrate, and implement products. - Provide",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3f93361cc54acbf0d9",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "341f6af9f053bea1f0cc14b4a411222e",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, ML Inference Performance San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About The Role The Principal Compiler Engineer - ML Systems position will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova. It is a critical role responsible for driving innovation in compiler infrastructure and optimization algorithms that enable state-of-the-art ML model performance on the SambaNova platform. This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities - Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution. - Work with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions. - Develop, integrate, and implement products. - Provide",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:341f6af9f053bea1f0cc14b4a411222e:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.576323aaa828f01cac",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "341f6af9f053bea1f0cc14b4a411222e",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, ML Inference Performance San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About The Role The Principal Compiler Engineer - ML Systems position will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova. It is a critical role responsible for driving innovation in compiler infrastructure and optimization algorithms that enable state-of-the-art ML model performance on the SambaNova platform. This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities - Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution. - Work with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions. - Develop, integrate, and implement products. - Provide",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:341f6af9f053bea1f0cc14b4a411222e:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.31e4862e643f88939b",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "341f6af9f053bea1f0cc14b4a411222e",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:341f6af9f053bea1f0cc14b4a411222e:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.4e0e7d111e26dd5b59",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "341f6af9f053bea1f0cc14b4a411222e",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:341f6af9f053bea1f0cc14b4a411222e:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.42ab6bade12582408b",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "341f6af9f053bea1f0cc14b4a411222e",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:e6bcaa0120ea4ddaea993b42",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.583560be81f1a7bf76",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "341f6af9f053bea1f0cc14b4a411222e",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.df8247cd9b968f66ba",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "341f6af9f053bea1f0cc14b4a411222e",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3d3b8c9d31eec779462ebe479dc66a7d",
      "title": "Runtime Engineer",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-03-24T14:47:21.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5835758004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Runtime Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. The Opportunity The Runtime team at Sambanova is a seasoned engineering team with a proven track record of delivering cutting-edge system software solutions for AI and machine learning applications in the enterprise & commercial landscape. Runtime is responsible for the lowest levels of the SambaNova stack, efficiently interacting with the hardware to provide the best application performance and maximize hardware utilization. We handle all aspects of software infrastructure to enable higher level applications, including: - High performance user libraries - Operating System interface/integration - Data model manipulation for scaling - Networking/communication intra and inter node - Orchestration of partitioned workloads - Error monitoring and tools for system management and observability We build a high performance, distributed and scalable software execution environment for SambaNova",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.252c72eebd7d7c0baf",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3d3b8c9d31eec779462ebe479dc66a7d",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Runtime Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. The Opportunity The Runtime team at Sambanova is a seasoned engineering team with a proven track record of delivering cutting-edge system software solutions for AI and machine learning applications in the enterprise & commercial landscape. Runtime is responsible for the lowest levels of the SambaNova stack, efficiently interacting with the hardware to provide the best application performance and maximize hardware utilization. We handle all aspects of software infrastructure to enable higher level applications, including: - High performance user libraries - Operating System interface/integration - Data model manipulation for scaling - Networking/communication intra and inter node - Orchestration of partitioned workloads - Error monitoring and tools for system management and observability We build a high performance, distributed and scalable software execution environment for SambaNova",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:3d3b8c9d31eec779462ebe479dc66a7d:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.678bb1e36393c105c5",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3d3b8c9d31eec779462ebe479dc66a7d",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:3d3b8c9d31eec779462ebe479dc66a7d:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a8d064d845a8988d01",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3d3b8c9d31eec779462ebe479dc66a7d",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:3d3b8c9d31eec779462ebe479dc66a7d:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.7809ff7347a7a0ce4b",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3d3b8c9d31eec779462ebe479dc66a7d",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:76ee47fdd3857f5c132e87bf",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.860cf9b1e1a1277b13",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3d3b8c9d31eec779462ebe479dc66a7d",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d29baaf932f00b065f",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "3d3b8c9d31eec779462ebe479dc66a7d",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "c8bfc6d79ad7e1f466d0bb23cd6fbe53",
      "title": "Senior Software Engineer, ML Infrastructure",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "Remote - US",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 200000,
      "salary_max": 275000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 200000,
      "base_salary_max": 275000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-04T18:32:24.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=6007942004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer, ML Infrastructure Remote - US The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Overview The Senior Software Engineer, ML Infrastructure will be responsible for designing, building, and operating the production-grade inference infrastructure that powers SambaNova's serving stack on our Reconfigurable Dataflow Unit (RDU) architecture. SambaNova is an inference-first company, and this role sits at the heart of that mission: turning state-of-the-art inference techniques into reliable, high-throughput, low-latency services exposed to customers through SambaStack and SambaCloud. The engineer will own end-to-end systems spanning request scheduling, advanced decoding algorithms, caching layers, API surfaces, and the accuracy infrastructure that keeps the stack trustworthy. This role partners closely with ML, compiler, runtime, and product teams to ship inference features from prototype to production. Qualifications - Bachelor's degree in Computer Science, Electrical Engineering, or related field - 5+ years of",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 55,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4401cfbeafab17e0fe",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "c8bfc6d79ad7e1f466d0bb23cd6fbe53",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer, ML Infrastructure Remote - US The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Overview The Senior Software Engineer, ML Infrastructure will be responsible for designing, building, and operating the production-grade inference infrastructure that powers SambaNova's serving stack on our Reconfigurable Dataflow Unit (RDU) architecture. SambaNova is an inference-first company, and this role sits at the heart of that mission: turning state-of-the-art inference techniques into reliable, high-throughput, low-latency services exposed to customers through SambaStack and SambaCloud. The engineer will own end-to-end systems spanning request scheduling, advanced decoding algorithms, caching layers, API surfaces, and the accuracy infrastructure that keeps the stack trustworthy. This role partners closely with ML, compiler, runtime, and product teams to ship inference features from prototype to production. Qualifications - Bachelor's degree in Computer Science, Electrical Engineering, or related field - 5+ years of",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:c8bfc6d79ad7e1f466d0bb23cd6fbe53:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.49804ba61d74e14fb1",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "c8bfc6d79ad7e1f466d0bb23cd6fbe53",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer, ML Infrastructure Remote - US The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Overview The Senior Software Engineer, ML Infrastructure will be responsible for designing, building, and operating the production-grade inference infrastructure that powers SambaNova's serving stack on our Reconfigurable Dataflow Unit (RDU) architecture. SambaNova is an inference-first company, and this role sits at the heart of that mission: turning state-of-the-art inference techniques into reliable, high-throughput, low-latency services exposed to customers through SambaStack and SambaCloud. The engineer will own end-to-end systems spanning request scheduling, advanced decoding algorithms, caching layers, API surfaces, and the accuracy infrastructure that keeps the stack trustworthy. This role partners closely with ML, compiler, runtime, and product teams to ship inference features from prototype to production. Qualifications - Bachelor's degree in Computer Science, Electrical Engineering, or related field - 5+ years of",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:c8bfc6d79ad7e1f466d0bb23cd6fbe53:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.00cf09e0ea583c232a",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "c8bfc6d79ad7e1f466d0bb23cd6fbe53",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:c8bfc6d79ad7e1f466d0bb23cd6fbe53:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.87afe8173ecab849cd",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "c8bfc6d79ad7e1f466d0bb23cd6fbe53",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:c8bfc6d79ad7e1f466d0bb23cd6fbe53:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.e4d41a443551310eb9",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "c8bfc6d79ad7e1f466d0bb23cd6fbe53",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:e002e255beaa5c09b0c7d6e4",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.10514ce43b55c53a73",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "c8bfc6d79ad7e1f466d0bb23cd6fbe53",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.48cfc6e90f07248aee",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "c8bfc6d79ad7e1f466d0bb23cd6fbe53",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "4c902362e30b262d0a177da4d010714d",
      "title": "Senior Software Engineer - Kernel & Device Drivers",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "Austin, Texas, United States; San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 120000,
      "salary_max": 200000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 120000,
      "base_salary_max": 200000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-04-07T00:14:43.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5850439004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer - Kernel & Device Drivers Austin, Texas, United States; San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Overview SambaNova is seeking a Senior Software Engineer to develop kernel-level drivers and low-level software for high-speed IO and memory subsystems within the DataScale® platform and RDU architecture. You will enable system bring-up, debug complex cross-layer issues, and deliver production-quality software that scales across systems and deployments. Working across kernel, firmware, and hardware, you will build robust, maintainable drivers and frameworks supporting validation, manufacturing, and system performance. This is a hands-on role for an engineer with strong low-level programming skills, solid hardware understanding, and a focus on reliability, performance, and code quality. Responsibilities Kernel & Driver Development ● Develop and maintain kernel-space drivers for high-speed IO and memory subsystems ● Enable platform bring-up",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.43b63816148c54cad2",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "4c902362e30b262d0a177da4d010714d",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer - Kernel & Device Drivers Austin, Texas, United States; San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Overview SambaNova is seeking a Senior Software Engineer to develop kernel-level drivers and low-level software for high-speed IO and memory subsystems within the DataScale® platform and RDU architecture. You will enable system bring-up, debug complex cross-layer issues, and deliver production-quality software that scales across systems and deployments. Working across kernel, firmware, and hardware, you will build robust, maintainable drivers and frameworks supporting validation, manufacturing, and system performance. This is a hands-on role for an engineer with strong low-level programming skills, solid hardware understanding, and a focus on reliability, performance, and code quality. Responsibilities Kernel & Driver Development ● Develop and maintain kernel-space drivers for high-speed IO and memory subsystems ● Enable platform bring-up",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:4c902362e30b262d0a177da4d010714d:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fae69820c13f257f6e",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "4c902362e30b262d0a177da4d010714d",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer - Kernel & Device Drivers Austin, Texas, United States; San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Overview SambaNova is seeking a Senior Software Engineer to develop kernel-level drivers and low-level software for high-speed IO and memory subsystems within the DataScale® platform and RDU architecture. You will enable system bring-up, debug complex cross-layer issues, and deliver production-quality software that scales across systems and deployments. Working across kernel, firmware, and hardware, you will build robust, maintainable drivers and frameworks supporting validation, manufacturing, and system performance. This is a hands-on role for an engineer with strong low-level programming skills, solid hardware understanding, and a focus on reliability, performance, and code quality. Responsibilities Kernel & Driver Development ● Develop and maintain kernel-space drivers for high-speed IO and memory subsystems ● Enable platform bring-up",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:4c902362e30b262d0a177da4d010714d:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2c80826e8eee7359c9",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "4c902362e30b262d0a177da4d010714d",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:4c902362e30b262d0a177da4d010714d:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.771ac89e6a9a5bbc2a",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "4c902362e30b262d0a177da4d010714d",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:4c902362e30b262d0a177da4d010714d:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.2a3b8d3bdb725d338d",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "4c902362e30b262d0a177da4d010714d",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:51ca72725511e946cf7f0de0",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.401529c1bed84999c3",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "4c902362e30b262d0a177da4d010714d",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fb66010daa0525fcff",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "4c902362e30b262d0a177da4d010714d",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "630ffe9870d9fea34e915bb654c2c965",
      "title": "Manufacturing Testing Engineer",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "contract",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 150000,
      "salary_max": 190000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 150000,
      "base_salary_max": 190000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-03-18T22:26:22.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5831918004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Manufacturing Testing Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role We are seeking a hands-on Manufacturing Test Engineer to design, develop, and optimize manufacturing test systems for complex electronic and system-level products. This role is critical in ensuring product quality, test coverage, and scalability across production environments. You will work cross-functionally with engineering, manufacturing, and suppliers to build robust automated test solutions, reduce test escapes, and support new product introduction (NPI). Key Responsibilities Test Development & Automation - Develop and validate automated test programs and fixtures for manufacturing environments - Select and integrate appropriate test equipment for production testing - Design and implement scalable test architectures for system and PCBA-level testing - Create detailed and robust manufacturing test procedures and documentation Failure Analysis & Continuous Improvement - Partner with",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 7,
      "years_experience_max": 11,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.446dca333b950f5732",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "630ffe9870d9fea34e915bb654c2c965",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Manufacturing Testing Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role We are seeking a hands-on Manufacturing Test Engineer to design, develop, and optimize manufacturing test systems for complex electronic and system-level products. This role is critical in ensuring product quality, test coverage, and scalability across production environments. You will work cross-functionally with engineering, manufacturing, and suppliers to build robust automated test solutions, reduce test escapes, and support new product introduction (NPI). Key Responsibilities Test Development & Automation - Develop and validate automated test programs and fixtures for manufacturing environments - Select and integrate appropriate test equipment for production testing - Design and implement scalable test architectures for system and PCBA-level testing - Create detailed and robust manufacturing test procedures and documentation Failure Analysis & Continuous Improvement - Partner with",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:630ffe9870d9fea34e915bb654c2c965:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ce338d3bdb2269d7f3",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "630ffe9870d9fea34e915bb654c2c965",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Manufacturing Testing Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role We are seeking a hands-on Manufacturing Test Engineer to design, develop, and optimize manufacturing test systems for complex electronic and system-level products. This role is critical in ensuring product quality, test coverage, and scalability across production environments. You will work cross-functionally with engineering, manufacturing, and suppliers to build robust automated test solutions, reduce test escapes, and support new product introduction (NPI). Key Responsibilities Test Development & Automation - Develop and validate automated test programs and fixtures for manufacturing environments - Select and integrate appropriate test equipment for production testing - Design and implement scalable test architectures for system and PCBA-level testing - Create detailed and robust manufacturing test procedures and documentation Failure Analysis & Continuous Improvement - Partner with",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:630ffe9870d9fea34e915bb654c2c965:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7a47f7fb1a99fa13bd",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "630ffe9870d9fea34e915bb654c2c965",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:630ffe9870d9fea34e915bb654c2c965:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.de961b7db311471e8c",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "630ffe9870d9fea34e915bb654c2c965",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:630ffe9870d9fea34e915bb654c2c965:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.a25a60d999078b5501",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "630ffe9870d9fea34e915bb654c2c965",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:fe9fc98bd187b5a5f56a5567",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.46322b30c978269fa9",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "630ffe9870d9fea34e915bb654c2c965",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.dec3a9691d4a056396",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "630ffe9870d9fea34e915bb654c2c965",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e4f87f56b621e92ba60a19466783e484",
      "title": "Cloud Site Reliability Engineer",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-04-28T21:48:39.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5983754004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Cloud Site Reliability Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Systems Join the company that's building the future of AI computing. At SambaNova, we are disrupting the AI and high-performance computing space with our integrated hardware and software platform. Our DataScale systems and SambaFlow software are pushing the boundaries of what's possible with generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. The Role As a Cloud Site Reliability Engineer (SRE) specializing in our AI Inferencing Service, you will be the guardian of its reliability, performance, and scalability. You will bridge the gap between software development and operations, applying an engineering mindset to solve operational challenges. Your primary focus will be ensuring our inference endpoints have",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": true,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1aeb4fa3b13c49715b",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "e4f87f56b621e92ba60a19466783e484",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Cloud Site Reliability Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Systems Join the company that's building the future of AI computing. At SambaNova, we are disrupting the AI and high-performance computing space with our integrated hardware and software platform. Our DataScale systems and SambaFlow software are pushing the boundaries of what's possible with generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. The Role As a Cloud Site Reliability Engineer (SRE) specializing in our AI Inferencing Service, you will be the guardian of its reliability, performance, and scalability. You will bridge the gap between software development and operations, applying an engineering mindset to solve operational challenges. Your primary focus will be ensuring our inference endpoints have",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:e4f87f56b621e92ba60a19466783e484:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fb6a365b585b34b212",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "e4f87f56b621e92ba60a19466783e484",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Cloud Site Reliability Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Systems Join the company that's building the future of AI computing. At SambaNova, we are disrupting the AI and high-performance computing space with our integrated hardware and software platform. Our DataScale systems and SambaFlow software are pushing the boundaries of what's possible with generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. The Role As a Cloud Site Reliability Engineer (SRE) specializing in our AI Inferencing Service, you will be the guardian of its reliability, performance, and scalability. You will bridge the gap between software development and operations, applying an engineering mindset to solve operational challenges. Your primary focus will be ensuring our inference endpoints have",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:e4f87f56b621e92ba60a19466783e484:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3073da88305d9e0a90",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "e4f87f56b621e92ba60a19466783e484",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:e4f87f56b621e92ba60a19466783e484:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ee31e40b4c40742f37",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "e4f87f56b621e92ba60a19466783e484",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:e4f87f56b621e92ba60a19466783e484:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.7223d2dacbc47dff7b",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "e4f87f56b621e92ba60a19466783e484",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:cba573ee34195b4cb4897ac0",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6e6771dcae55fa07cf",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "e4f87f56b621e92ba60a19466783e484",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8b83374b06d0671317",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "e4f87f56b621e92ba60a19466783e484",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "5e2e8dfaef7a620cbc32d28a14605ed6",
      "title": "Sr Product Manager - AI Cloud",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-02-24T17:25:28.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5811778004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr Product Manager - AI Cloud San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. The Mission Our AI Cloud is the strategic engine that proves our hardware dominance and enables our entire business. We need a Principal Product Manager to define how this cloud drives velocity across our Enterprise, Managed Service, and On-Premise product lines. You will own the strategy for using our cloud to showcase our unique hardware advantages and unlock high-value enterprise use cases. Key Responsibilities Strategic Direction & Business Velocity - Unified Cloud Strategy: Define the AI Cloud vision to serve as the enabling vehicle for our two core GTM motions: SambaStack and SambaManaged . - Hardware-Software Synergy: Translate our silicon advantages into cloud features and model serving strategies that competitors cannot replicate. - Solution Incubation: Identify and incubate unique",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.89dc558b1decff0dad",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "5e2e8dfaef7a620cbc32d28a14605ed6",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sr Product Manager - AI Cloud San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. The Mission Our AI Cloud is the strategic engine that proves our hardware dominance and enables our entire business. We need a Principal Product Manager to define how this cloud drives velocity across our Enterprise, Managed Service, and On-Premise product lines. You will own the strategy for using our cloud to showcase our unique hardware advantages and unlock high-value enterprise use cases. Key Responsibilities Strategic Direction & Business Velocity - Unified Cloud Strategy: Define the AI Cloud vision to serve as the enabling vehicle for our two core GTM motions: SambaStack and SambaManaged . - Hardware-Software Synergy: Translate our silicon advantages into cloud features and model serving strategies that competitors cannot replicate. - Solution Incubation: Identify and incubate unique",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:5e2e8dfaef7a620cbc32d28a14605ed6:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.9dd4f08d9dc84254f0",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "5e2e8dfaef7a620cbc32d28a14605ed6",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:5e2e8dfaef7a620cbc32d28a14605ed6:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ac43ad6ca57d76d933",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "5e2e8dfaef7a620cbc32d28a14605ed6",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:5e2e8dfaef7a620cbc32d28a14605ed6:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.4aed1c94f188528174",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "5e2e8dfaef7a620cbc32d28a14605ed6",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:f35c20d34b2f55b6c6a2cfc8",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.297adb73818cd1188a",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "5e2e8dfaef7a620cbc32d28a14605ed6",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.51e2e3665c39bd5205",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "5e2e8dfaef7a620cbc32d28a14605ed6",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "590c0e6dbc225057e6e888fe2bb6f3a5",
      "title": "Principal Engineer, High-Speed IO & Memory Systems",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "Austin, Texas, United States; San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-04-08T16:08:10.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5869372004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Engineer, High-Speed IO & Memory Systems Austin, Texas, United States; San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role SambaNova's DataScale® platform pushes the limits of AI compute-and the integrity of every high-speed interface and memory subsystem is critical to its performance in the field. As a Principal Engineer, Post-Silicon Validation, you will own the bring-up, debug, and validation of high-speed IO and memory subsystems from first silicon through customer deployment. This is a deeply technical, high-ownership role for an engineer who thrives on hard debug problems. You will operate across silicon, board, and software layers-leading cross-functional teams to root cause, driving issues to resolution, and building the infrastructure that makes future bring-up cycles faster and more reliable. If you have a bias for action, a sharp analytical mind, and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 7,
      "years_experience_max": null,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.844013488cf82cd2ae",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "590c0e6dbc225057e6e888fe2bb6f3a5",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Engineer, High-Speed IO & Memory Systems Austin, Texas, United States; San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role SambaNova's DataScale® platform pushes the limits of AI compute-and the integrity of every high-speed interface and memory subsystem is critical to its performance in the field. As a Principal Engineer, Post-Silicon Validation, you will own the bring-up, debug, and validation of high-speed IO and memory subsystems from first silicon through customer deployment. This is a deeply technical, high-ownership role for an engineer who thrives on hard debug problems. You will operate across silicon, board, and software layers-leading cross-functional teams to root cause, driving issues to resolution, and building the infrastructure that makes future bring-up cycles faster and more reliable. If you have a bias for action, a sharp analytical mind, and",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:590c0e6dbc225057e6e888fe2bb6f3a5:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.aabe3b14c5f79f8d69",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "590c0e6dbc225057e6e888fe2bb6f3a5",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Engineer, High-Speed IO & Memory Systems Austin, Texas, United States; San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role SambaNova's DataScale® platform pushes the limits of AI compute-and the integrity of every high-speed interface and memory subsystem is critical to its performance in the field. As a Principal Engineer, Post-Silicon Validation, you will own the bring-up, debug, and validation of high-speed IO and memory subsystems from first silicon through customer deployment. This is a deeply technical, high-ownership role for an engineer who thrives on hard debug problems. You will operate across silicon, board, and software layers-leading cross-functional teams to root cause, driving issues to resolution, and building the infrastructure that makes future bring-up cycles faster and more reliable. If you have a bias for action, a sharp analytical mind, and",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:590c0e6dbc225057e6e888fe2bb6f3a5:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c58dbfe88cffa81c88",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "590c0e6dbc225057e6e888fe2bb6f3a5",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:590c0e6dbc225057e6e888fe2bb6f3a5:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d6b1965d133cfe9034",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "590c0e6dbc225057e6e888fe2bb6f3a5",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:590c0e6dbc225057e6e888fe2bb6f3a5:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.d4bdb961b64b685912",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "590c0e6dbc225057e6e888fe2bb6f3a5",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Principal Engineer, High-Speed IO & Memory Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:590c0e6dbc225057e6e888fe2bb6f3a5:title:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.ea9a6b1765a5ca0a1b",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "590c0e6dbc225057e6e888fe2bb6f3a5",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:3c45aad67081561ec7ab91f3",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1e33cf57b2f4d48ffd",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "590c0e6dbc225057e6e888fe2bb6f3a5",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.4f63ed78288b4c70da",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "590c0e6dbc225057e6e888fe2bb6f3a5",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Principal Engineer, High-Speed IO & Memory Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "03210f26a39f2fafd53cf6bdf2f880c0",
      "title": "Senior Hardware Validation & SI Correlation Engineer",
      "employer_name": "SambaNova Systems",
      "employer_slug": "sambanova-systems",
      "location_text": "San Jose, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 150000,
      "salary_max": 289000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 150000,
      "base_salary_max": 289000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-04-07T02:12:14.000Z",
      "apply_url": "https://sambanova.ai/sambanova-available-positions/?gh_jid=5850481004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Hardware Validation & SI Correlation Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role SambaNova Systems is redefining what's possible in AI infrastructure-and the hardware that powers it has to be flawless. As a Senior Hardware Validation & SI Correlation Engineer, you will own the technical bridge between simulation and silicon, ensuring that every high-speed link, control bus, and power rail in our next-generation AI server systems performs without compromise. This is a high-impact, highly visible role that blends deep Signal Integrity (SI) expertise with rigorous system-level hardware validation. You will work at the frontier of AI compute-validating PCIe Gen5/6, DDR5, and 112G/224G Ethernet interfaces on systems pushing the limits of what data center hardware can do. If you thrive in a fast-paced lab environment, love digging into root",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 10,
      "years_experience_max": 14,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.efaca77240d126250a",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "03210f26a39f2fafd53cf6bdf2f880c0",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Hardware Validation & SI Correlation Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role SambaNova Systems is redefining what's possible in AI infrastructure-and the hardware that powers it has to be flawless. As a Senior Hardware Validation & SI Correlation Engineer, you will own the technical bridge between simulation and silicon, ensuring that every high-speed link, control bus, and power rail in our next-generation AI server systems performs without compromise. This is a high-impact, highly visible role that blends deep Signal Integrity (SI) expertise with rigorous system-level hardware validation. You will work at the frontier of AI compute-validating PCIe Gen5/6, DDR5, and 112G/224G Ethernet interfaces on systems pushing the limits of what data center hardware can do. If you thrive in a fast-paced lab environment, love digging into root",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:03210f26a39f2fafd53cf6bdf2f880c0:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f5bc74980ba26815ea",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "03210f26a39f2fafd53cf6bdf2f880c0",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Hardware Validation & SI Correlation Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role SambaNova Systems is redefining what's possible in AI infrastructure-and the hardware that powers it has to be flawless. As a Senior Hardware Validation & SI Correlation Engineer, you will own the technical bridge between simulation and silicon, ensuring that every high-speed link, control bus, and power rail in our next-generation AI server systems performs without compromise. This is a high-impact, highly visible role that blends deep Signal Integrity (SI) expertise with rigorous system-level hardware validation. You will work at the frontier of AI compute-validating PCIe Gen5/6, DDR5, and 112G/224G Ethernet interfaces on systems pushing the limits of what data center hardware can do. If you thrive in a fast-paced lab environment, love digging into root",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:03210f26a39f2fafd53cf6bdf2f880c0:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5abc3e1b51d00e1fd3",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "03210f26a39f2fafd53cf6bdf2f880c0",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:03210f26a39f2fafd53cf6bdf2f880c0:employer:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5ff0ba86917bfda9a6",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "03210f26a39f2fafd53cf6bdf2f880c0",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:03210f26a39f2fafd53cf6bdf2f880c0:employer:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.903c9f2e910f5b9f39",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "03210f26a39f2fafd53cf6bdf2f880c0",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:b8fac72ef93e5fa4842a9d44",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1ab6df9087dbd0c149",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "03210f26a39f2fafd53cf6bdf2f880c0",
          "signal_type": "query_match",
          "display_text": "Employer: \"systems\"",
          "tooltip": "Employer contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c7c1397cae58520880",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "03210f26a39f2fafd53cf6bdf2f880c0",
          "signal_type": "query_match",
          "display_text": "Employer: \"sambanova\"",
          "tooltip": "Employer contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "SambaNova Systems",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "903fafae743ccb25c7615a73d7685d1e",
      "title": "Analyst, Business Systems – Financial Systems",
      "employer_name": "Icu Medical Inc",
      "employer_slug": "icu-medical-inc",
      "location_text": "Chennai, Tamil Nadu, India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-01-28T00:00:00.000Z",
      "apply_url": "https://eduu.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/requisitions/job/1029",
      "apply_url_verified": false,
      "ats": "oracle_recruiting_cloud",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Analyst, Business Systems – Financial Systems Chennai, Tamil Nadu, India Analyst, Business Systems - Financial Systems",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Healthcare",
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d2a9b5cd5e7cb68dca",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "903fafae743ccb25c7615a73d7685d1e",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Analyst, Business Systems – Financial Systems Chennai, Tamil Nadu, India Analyst, Business Systems - Financial Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:903fafae743ccb25c7615a73d7685d1e:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ba4c124880b442711d",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "903fafae743ccb25c7615a73d7685d1e",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Analyst, Business Systems – Financial Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:903fafae743ccb25c7615a73d7685d1e:title:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.2ac8d2bd238f40e597",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "903fafae743ccb25c7615a73d7685d1e",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Analyst, Business Systems – Financial Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:bdfd11c6304577cb26e20990",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.6201df19884e7d69dc",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "903fafae743ccb25c7615a73d7685d1e",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Analyst, Business Systems – Financial Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "b9f01c95fd820b54d0a696563af67033",
      "title": "Systems Engineering Lead, Air Vehicle Systems",
      "employer_name": "Anduril",
      "employer_slug": "anduril",
      "location_text": "Costa Mesa, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 191000,
      "salary_max": 253000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "total_comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 191000,
      "base_salary_max": 253000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cnbc_disruptor50",
        "cbinsights_unicorn",
        "a16z",
        "foundersfund",
        "generalcatalyst"
      ],
      "posted_at": "2025-08-05T20:21:07.000Z",
      "apply_url": "https://boards.greenhouse.io/andurilindustries/jobs/4801617007?gh_jid=4801617007",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Systems Engineering Lead, Air Vehicle Systems Costa Mesa, California, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. WHY WE'RE HERE: The systems engineering team is looking for experienced Systems Engineering Lead to support a Group 5 aircraft program at Anduril. The ideal candidate will have experience leading a team of systems engineering working on air vehicle systems. Ideally they have worked with complex unmanned aerial systems (UAS), and will have a strong background in systems engineering for unmanned platforms. WHAT YOU'LL DO We are hiring a Lead Systems Engineer with a background in air vehicle systems to support ongoing development of a group 5 autonomous aircraft. - Shape customer needs into air vehicle and subsystem requirements in collaboration with multidisciplinary teams. - Develop System Engineering artifacts, including system model, to trace from stakeholder inputs through design in a digital thread. Incorporate input from system safety, software engineering, and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "top_secret",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b6bd9f96fa02b4eb7f",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "b9f01c95fd820b54d0a696563af67033",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Systems Engineering Lead, Air Vehicle Systems Costa Mesa, California, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. WHY WE'RE HERE: The systems engineering team is looking for experienced Systems Engineering Lead to support a Group 5 aircraft program at Anduril. The ideal candidate will have experience leading a team of systems engineering working on air vehicle systems. Ideally they have worked with complex unmanned aerial systems (UAS), and will have a strong background in systems engineering for unmanned platforms. WHAT YOU'LL DO We are hiring a Lead Systems Engineer with a background in air vehicle systems to support ongoing development of a group 5 autonomous aircraft. - Shape customer needs into air vehicle and subsystem requirements in collaboration with multidisciplinary teams. - Develop System Engineering artifacts, including system model, to trace from stakeholder inputs through design in a digital thread. Incorporate input from system safety, software engineering, and",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:b9f01c95fd820b54d0a696563af67033:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.94426fd88c1b722a0b",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "b9f01c95fd820b54d0a696563af67033",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Systems Engineering Lead, Air Vehicle Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:b9f01c95fd820b54d0a696563af67033:title:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.aca18ce69459be2fe4",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "b9f01c95fd820b54d0a696563af67033",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Systems Engineering Lead, Air Vehicle Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:8dfc8d6df75a6f9fb46ac773",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c483b6d047288945ff",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "b9f01c95fd820b54d0a696563af67033",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Systems Engineering Lead, Air Vehicle Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "9e8878121a4da6a584369ec77a97aff2",
      "title": "Systems Engineer – Space Systems",
      "employer_name": "Oceaneering International",
      "employer_slug": "oceaneering-international",
      "location_text": "Houston, TX, United States",
      "country": "US",
      "employment_type": "contract",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-22T00:00:00.000Z",
      "apply_url": "https://ebfr.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/jobs/requisitions/job/10513",
      "apply_url_verified": false,
      "ats": "oracle_recruiting_cloud",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Systems Engineer – Space Systems Houston, TX, United States Systems Engineer for NASA/Amentum JETS2 Service Contract",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2d4dd04195006446ba",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "9e8878121a4da6a584369ec77a97aff2",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Systems Engineer – Space Systems Houston, TX, United States Systems Engineer for NASA/Amentum JETS2 Service Contract",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:9e8878121a4da6a584369ec77a97aff2:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.9b438fe48a0603a1de",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "9e8878121a4da6a584369ec77a97aff2",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Systems Engineer – Space Systems",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:9e8878121a4da6a584369ec77a97aff2:title:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.39613e5a1b06c8142b",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "9e8878121a4da6a584369ec77a97aff2",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Systems Engineer – Space Systems",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:972d8d9285a5924c514949c8",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.0cb6d8f5bbf0710386",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "9e8878121a4da6a584369ec77a97aff2",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Systems Engineer – Space Systems",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "cc55285a6656ee1e909c8b8054e3c183",
      "title": "System Engineer -System Development Department, Information Systems Division, Rakuten Life Insurance Co., Ltd.",
      "employer_name": "Rakuten Inc.",
      "employer_slug": "rakuten",
      "location_text": "Tokyo, Japan",
      "country": "JP",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://rakuten.wd1.myworkdayjobs.com/RakutenInc/job/Tokyo-Japan/System-Engineer--System-Development-Department--Information-Systems-Division--Rakuten-Life-Insurance-Co--Ltd_1027835-86",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "System Engineer -System Development Department, Information Systems Division, Rakuten Life Insurance Co., Ltd. Tokyo, Japan posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c5956a6a5bc7afc9e1",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "cc55285a6656ee1e909c8b8054e3c183",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "System Engineer -System Development Department, Information Systems Division, Rakuten Life Insurance Co., Ltd. Tokyo, Japan posted: Posted 30+ Days Ago",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:cc55285a6656ee1e909c8b8054e3c183:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8fd166e2d734ee5c69",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "cc55285a6656ee1e909c8b8054e3c183",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "System Engineer -System Development Department, Information Systems Division, Rakuten Life Insurance Co., Ltd.",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:cc55285a6656ee1e909c8b8054e3c183:title:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.7cc238deb7e459d056",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "cc55285a6656ee1e909c8b8054e3c183",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "System Engineer -System Development Department, Information Systems Division, Rakuten Life Insurance Co., Ltd.",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:2c1a6156bddc285d9863ddf4",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.0755426085b67f53e6",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "cc55285a6656ee1e909c8b8054e3c183",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "System Engineer -System Development Department, Information Systems Division, Rakuten Life Insurance Co., Ltd.",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f2f760d69aa1a09c820e2eeb634afa5d",
      "title": "Systems Software Engineer (C++)",
      "employer_name": "Thunder Compute",
      "employer_slug": "thundercompute",
      "location_text": "San Francisco | OnSite",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "onsite",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 5,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/thundercompute/2efae53b-817c-43e7-9da3-72694813f608",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Systems Software Engineer (C++) San Francisco | OnSite COMPANY Thunder Compute is the lowest cost, easiest GPU cloud for developers. We're a 4-person team with $4.5M raised from top tier investors including Y Combinator and Matrix Partners. There are two parts to our company. 1) we are a cloud platform where customers can rent GPUs just like they would from Coreweave, Lambda, AWS, etc., and 2) we are building systems software to use GPUs more efficiently than these competitors. ROLE Your work will focus on core C++ systems development: performance optimization, systems debugging, and research. You will spend your days bouncing between the weeds of complex, performance-critical systems in a production, customer-facing environment. This work is not easy - but if you're the right candidate, this is a feature, not a bug. CORE TECHNICAL SKILLS: - Top 0.1% C++ ability - Experience optimizing NIC/GPU performance - Deep understanding of low-level networking, compilers, and similar systems - Experience in latency-sensitive environments MUST HAVES: - You've got the dog in you: you will own your work and be responsible for production systems from day 1 - High speed-to-output - Willingness to assume a senior leadership role as we scale - Strong communication skills under pressure PREFERRED: - CS Bachelor's degree from top 50 US university, 3.5+ GPA - 1+ year of experience at a trading firm (Citadel, Jane Street, etc.), hardware company (NVIDIA, SambaNova), systems research or similar LOGISTICS - You'll report to Co-founder/CTO Brian (ex-Citadel quant dev) - This role is",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.09d30581f43908caf0",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "f2f760d69aa1a09c820e2eeb634afa5d",
          "signal_type": "query_match",
          "display_text": "Description: \"systems\"",
          "tooltip": "Description matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Systems Software Engineer (C++) San Francisco | OnSite COMPANY Thunder Compute is the lowest cost, easiest GPU cloud for developers. We're a 4-person team with $4.5M raised from top tier investors including Y Combinator and Matrix Partners. There are two parts to our company. 1) we are a cloud platform where customers can rent GPUs just like they would from Coreweave, Lambda, AWS, etc., and 2) we are building systems software to use GPUs more efficiently than these competitors. ROLE Your work will focus on core C++ systems development: performance optimization, systems debugging, and research. You will spend your days bouncing between the weeds of complex, performance-critical systems in a production, customer-facing environment. This work is not easy - but if you're the right candidate, this is a feature, not a bug. CORE TECHNICAL SKILLS: - Top 0.1% C++ ability - Experience optimizing NIC/GPU performance - Deep understanding of low-level networking, compilers, and similar systems - Experience in latency-sensitive environments MUST HAVES: - You've got the dog in you: you will own your work and be responsible for production systems from day 1 - High speed-to-output - Willingness to assume a senior leadership role as we scale - Strong communication skills under pressure PREFERRED: - CS Bachelor's degree from top 50 US university, 3.5+ GPA - 1+ year of experience at a trading firm (Citadel, Jane Street, etc.), hardware company (NVIDIA, SambaNova), systems research or similar LOGISTICS - You'll report to Co-founder/CTO Brian (ex-Citadel quant dev) - This role is",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:f2f760d69aa1a09c820e2eeb634afa5d:description:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2e1620d7255ebb7f93",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "f2f760d69aa1a09c820e2eeb634afa5d",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description matched \"sambanova\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Systems Software Engineer (C++) San Francisco | OnSite COMPANY Thunder Compute is the lowest cost, easiest GPU cloud for developers. We're a 4-person team with $4.5M raised from top tier investors including Y Combinator and Matrix Partners. There are two parts to our company. 1) we are a cloud platform where customers can rent GPUs just like they would from Coreweave, Lambda, AWS, etc., and 2) we are building systems software to use GPUs more efficiently than these competitors. ROLE Your work will focus on core C++ systems development: performance optimization, systems debugging, and research. You will spend your days bouncing between the weeds of complex, performance-critical systems in a production, customer-facing environment. This work is not easy - but if you're the right candidate, this is a feature, not a bug. CORE TECHNICAL SKILLS: - Top 0.1% C++ ability - Experience optimizing NIC/GPU performance - Deep understanding of low-level networking, compilers, and similar systems - Experience in latency-sensitive environments MUST HAVES: - You've got the dog in you: you will own your work and be responsible for production systems from day 1 - High speed-to-output - Willingness to assume a senior leadership role as we scale - Strong communication skills under pressure PREFERRED: - CS Bachelor's degree from top 50 US university, 3.5+ GPA - 1+ year of experience at a trading firm (Citadel, Jane Street, etc.), hardware company (NVIDIA, SambaNova), systems research or similar LOGISTICS - You'll report to Co-founder/CTO Brian (ex-Citadel quant dev) - This role is",
          "matched_input": "sambanova",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:f2f760d69aa1a09c820e2eeb634afa5d:description:sambanova",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.89395ce33956f20e9d",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "f2f760d69aa1a09c820e2eeb634afa5d",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title matched \"systems\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Systems Software Engineer (C++)",
          "matched_input": "systems",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_3f21fb913f40defb6c50:f2f760d69aa1a09c820e2eeb634afa5d:title:systems",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.fdcf6054b6c195a93d",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "f2f760d69aa1a09c820e2eeb634afa5d",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "Systems Software Engineer (C++) San Francisco | OnSite COMPANY Thunder Compute is the lowest cost, easiest GPU cloud for developers. We're a 4-person team with $4.5M raised from top tier investors including Y Combinator and Matrix Partners. There are two parts to our company. 1) we are a cloud platform where customers can rent GPUs just like they would from Coreweave, Lambda, AWS, etc., and 2) we are building systems software to use GPUs more efficiently than these competitors. ROLE Your work will focus on core C++ systems development: performance optimization, systems debugging, and research. You will spend your days bouncing between the weeds of complex, performance-critical systems in a production, customer-facing environment. This work is not easy - but if you're the right candidate, this is a feature, not a bug. CORE TECHNICAL SKILLS: - Top 0.1% C++ ability - Experience optimizing NIC/GPU performance - Deep understanding of low-level networking, compilers, and similar systems - Experience in latency-sensitive environments MUST HAVES: - You've got the dog in you: you will own your work and be responsible for production systems from day 1 - High speed-to-output - Willingness to assume a senior leadership role as we scale - Strong communication skills under pressure PREFERRED: - CS Bachelor's degree from top 50 US university, 3.5+ GPA - 1+ year of experience at a trading firm (Citadel, Jane Street, etc.), hardware company (NVIDIA, SambaNova), systems research or similar LOGISTICS - You'll report to Co-founder/CTO Brian (ex-Citadel quant dev) - This role is",
          "matched_input": "sambanova systems",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:2570521104271a1e55267616",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7e3459eb79a4da5008",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "f2f760d69aa1a09c820e2eeb634afa5d",
          "signal_type": "query_match",
          "display_text": "Description: \"sambanova\"",
          "tooltip": "Description contains \"sambanova\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Systems Software Engineer (C++) San Francisco | OnSite COMPANY Thunder Compute is the lowest cost, easiest GPU cloud for developers. We're a 4-person team with $4.5M raised from top tier investors including Y Combinator and Matrix Partners. There are two parts to our company. 1) we are a cloud platform where customers can rent GPUs just like they would from Coreweave, Lambda, AWS, etc., and 2) we are building systems software to use GPUs more efficiently than these competitors. ROLE Your work will focus on core C++ systems development: performance optimization, systems debugging, and research. You will spend your days bouncing between the weeds of complex, performance-critical systems in a production, customer-facing environment. This work is not easy - but if you're the right candidate, this is a feature, not a bug. CORE TECHNICAL SKILLS: - Top 0.1% C++ ability - Experience optimizing NIC/GPU performance - Deep understanding of low-level networking, compilers, and similar systems - Experience in latency-sensitive environments MUST HAVES: - You've got the dog in you: you will own your work and be responsible for production systems from day 1 - High speed-to-output - Willingness to assume a senior leadership role as we scale - Strong communication skills under pressure PREFERRED: - CS Bachelor's degree from top 50 US university, 3.5+ GPA - 1+ year of experience at a trading firm (Citadel, Jane Street, etc.), hardware company (NVIDIA, SambaNova), systems research or similar LOGISTICS - You'll report to Co-founder/CTO Brian (ex-Citadel quant dev) - This role is",
          "matched_input": "sambanova",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.45338429fda1196857",
          "query_id": "gq_3f21fb913f40defb6c50",
          "job_id": "f2f760d69aa1a09c820e2eeb634afa5d",
          "signal_type": "query_match",
          "display_text": "Title: \"systems\"",
          "tooltip": "Title contains \"systems\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Systems Software Engineer (C++)",
          "matched_input": "systems",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    }
  ],
  "total": 30,
  "page": 1,
  "per_page": 24,
  "applied_filters": {
    "q": "SambaNova Systems",
    "quality_floor": "all"
  },
  "hidden_unknown_benefits_count": 0,
  "hidden_quality_floor_count": 0,
  "quality_floor": "all",
  "search_profile": {
    "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1",
    "bm25_extension": "pg_textsearch",
    "vector_model": "BAAI/bge-small-en-v1.5",
    "vector_model_version": "v1.5",
    "fusion_method": "rrf"
  },
  "explanation_context": {
    "non_trivial_query": true,
    "query_terms": [
      "sambanova",
      "systems"
    ],
    "active_filter_keys": [],
    "visible_signal_limit": 3,
    "visible_trust_limit": 2
  },
  "event_context": null
}