{ "slug": "unconventional-ai", "canonical_name": "Unconventional AI", "website": "https://unconv.ai", "ats": "greenhouse", "top_startup": true, "top_startup_sources": [ "cbinsights_unicorn", "a16z" ], "total_active_jobs": 12, "verified_benefits": { "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "source_url": null, "verified_count": 0, "last_verified": null }, "awards": null, "jobs": [ { "id": "f3554d4b5ce0e97c5fa024ed779772d5", "title": "Digital Marketing Lead", "employer_name": "Unconventional AI", "employer_slug": "unconventional-ai", "location_text": "Palo Alto, CA I US Remote | Hybrid", "country": "US", "employment_type": "unknown", "remote_status": "hybrid", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 2, "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, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn", "a16z" ], "posted_at": "2026-05-05T17:33:52.000Z", "apply_url": "https://unconv.ai/careers/?gh_jid=4240193009", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Digital Marketing Lead Palo Alto, CA I US Remote | Hybrid About the Role We're looking for our first Digital Marketing Lead to own and scale our digital presence across web, social, email, paid media, and analytics . This role sits at the center of how we show up online. You'll be responsible for building, launching, and optimizing digital experiences and distribution , with a strong focus on social and email as core growth and engagement channels. You should be equally comfortable shipping a blog post, running paid campaigns, analyzing performance, and engaging directly with our deeply technical audience. 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This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role You will be a key contributor to our training ecosystem. Your goal is to build the next-generation ML model training platform tailored for a world where compute is no longer constrained by the digital abstraction. You will co-design and implement training systems alongside novel AI models and hardware platforms that push the boundaries of physics-based compute. What You'll Do - The Model Architectures: Build and maintain highly optimized, model-specific training stacks specifically tuned for state-of-the-art generative vision, language, and world models. - The Training Infrastructure: Design and scale multi-node distributed training systems, implementing elastic sharding and robust data streaming pipelines for fast, large-scale iteration. Implement and robust model checkpointing and recovery mechanisms. - Optimization & Benchmarking: Develop and optimize kernels using low-level programming models like CUDA andTriton. 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This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, Language & Reasoning Models, you will drive the development of foundational language and reasoning models that fundamentally leverage the dynamics of our novel silicon. Your goal is to map the behaviors of modern language models directly onto the physics of our hardware. You will sit at the intersection of NLP/reasoning research and hardware codesign, proving that high-fidelity, large-scale language understanding and generation can be achieved natively on an unconventional computing substrate. What You'll Do - Model Development: Design, train, and scale next-generation language and reasoning architectures (such as transformers, state space models, diffusion/flow models, and deep equilibrium models) specifically tailored for unconventional compute. - Physics-Informed Architecture: Rethink standard sequence modeling to exploit the continuous-time dynamics of silicon, moving away from layers of inefficient digital abstraction. -", "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": true, "sabbatical_eligible": false, "family_friendly_score": 51, "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": "other", "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": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "3062dfa8191b015e4d643e2b4e3299cd", "title": "AI Silicon, Design Verification", "employer_name": "Unconventional AI", "employer_slug": "unconventional-ai", "location_text": "Palo Alto, CA I US Remote", "country": "US", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "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, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn", "a16z" ], "posted_at": "2026-04-06T17:35:57.000Z", "apply_url": "https://unconv.ai/careers/?gh_jid=4209483009", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Silicon, Design Verification Palo Alto, CA I US Remote About Unconventional: Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. Responsibilities: - Verification Strategy & Architecture: Define, architect, and implement comprehensive verification plans and environments for IP blocks and full chip from specification to tape-out. - Methodology and Infrastructure: help build verification infrastructure from ground zero to flexible and nimble environments, able to move quickly and scale for growth. - Testbench Ownership: Take full ownership of the verification lifecycle, including the development and maintenance of scalable testbenches, sophisticated test cases, and robust verification environments. - Advanced Methodology Execution: Deploy industry-standard methodologies (UVM/SystemVerilog) to conduct constrained-random stimulus generation, coverage-driven verification, and assertions. - Cross-Functional Integration: Collaborate closely with digital and analog design teams, as well as software and systems teams, to define verification requirements, debug complex hardware/software interactions, and ensure design integrity. - Analysis & Closure: Perform exhaustive analysis of functional and code coverage. 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This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, System Modeling (Dynamic Systems Simulation), you will be part of a hands-on R&D team building simulation frameworks that bridge the gap between SPICE-level physical reality and AI framework-level algorithmic abstraction. You will be part of a hands-on R&D team building custom, high-speed and, high-fidelity behavioral simulators that enable rapid iteration across all layers of unconventional physics-based computing systems. “Extreme co-design” is our guiding principle. We need tools that simulate complex analog and mixed-signal systems millions of times faster than traditional circuit simulators, without losing the critical dynamics that govern system behavior. System Modeling is a multi-disciplinary effort, and the team we're building reflects that. The role involves development of physics-based system models, GPU-accelerated ML system simulations, and cross-layer system integration. 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The role involves development of physics-based system models, GPU-accelerated ML system simulations, and cross-layer system integration. You don't need to be an expert in all of these, but you have to be very strong in at least one, and solid in the rest. Responsibilities You will be responsible for one or more of the following tasks: - Architecting Foundational Solvers: Building large-scale, GPU-accelerated, high-fidelity numerical differential equation solvers (ODE, SDE, CDE, PDE). 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This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team. This isn't a role with a predefined checklist; it's an opportunity to help define the \"what\" and the \"how.\" We are looking for 'first principles' thinkers who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture. 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Digital Marketing Lead at Unconventional AI - Palo Alto, CA I US Remote | Hybrid - Digital Marketing Lead Palo Alto, CA I US Remote | Hybrid About the Role We're looking for our first Digital Marketing Lead to own and scale our digital presence across web, social, email, paid media, and analytics . This role sits at the center of how we show up online. You'll be responsible for building, launching, and optimizing digital experiences and distribution , with a strong focus on social and email as core growth and engagement channels. You should be equally comfortable shipping a blog post, running paid campaigns, analyzing performance, and engaging directly with our deeply technical audience. What You'll Do Social Media & Community - Own day-to-day management of social channels (X, LinkedIn, others as relevant) - Plan, launch, and optimize paid media campaigns across LinkedIn, Google, X, and other channels - Write, publish, and optimize posts that drive reach, engagement, and credibility - Actively engage with the community: replies, comments, DMs, and conversations - Identify and capitalize on timely moments, conversations, and trends - Manage social calendar while staying flexible to real-time opportunities - Track performance and continuously refine what works Email Marketing - Own newsletter strategy and execution (announcements, blogs, research, updates) - Write, build, and send emails that are clear, compelling, and on-brand Web & CMS (Core Surface) - Own website updates and blog publishing (CMS-driven) - Ensure blog posts and landing pages are cleanly formatted, performant, and aligned with brand - Partner with design to improve UX and conversion - Maintain site hygiene: QA,

", "datePosted": "2026-05-05T17:33:52.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Unconventional AI", "value": "f3554d4b5ce0e97c5fa024ed779772d5" }, "hiringOrganization": { "@type": "Organization", "name": "Unconventional AI" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Palo Alto" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/unconventional-ai/digital-marketing-lead-f3554d4b" } }, { "@type": "ListItem", "position": 2, "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-systems-training-39f390de", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "AI Systems, Training", "description": "

AI Systems, Training at Unconventional AI - Palo Alto, CA I US Remote - AI Systems, Training Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role You will be a key contributor to our training ecosystem. Your goal is to build the next-generation ML model training platform tailored for a world where compute is no longer constrained by the digital abstraction. You will co-design and implement training systems alongside novel AI models and hardware platforms that push the boundaries of physics-based compute. What You'll Do - The Model Architectures: Build and maintain highly optimized, model-specific training stacks specifically tuned for state-of-the-art generative vision, language, and world models. - The Training Infrastructure: Design and scale multi-node distributed training systems, implementing elastic sharding and robust data streaming pipelines for fast, large-scale iteration. Implement and robust model checkpointing and recovery mechanisms. - Optimization & Benchmarking: Develop and optimize kernels using low-level programming models like CUDA andTriton. Design rigorous benchmarking suites to track Model Flops

", "datePosted": "2026-04-15T18:11:21.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Unconventional AI", "value": "39f390de74e552c72aa02f34367054d9" }, "hiringOrganization": { "@type": "Organization", "name": "Unconventional AI" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "USA" }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-systems-training-39f390de" } }, { "@type": "ListItem", "position": 3, "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-systems-language-and-reasoning-models-7f164453", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "AI Systems, Language & Reasoning Models", "description": "

AI Systems, Language & Reasoning Models at Unconventional AI - Palo Alto, CA I US Remote - AI Systems, Language & Reasoning Models Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, Language & Reasoning Models, you will drive the development of foundational language and reasoning models that fundamentally leverage the dynamics of our novel silicon. Your goal is to map the behaviors of modern language models directly onto the physics of our hardware. You will sit at the intersection of NLP/reasoning research and hardware codesign, proving that high-fidelity, large-scale language understanding and generation can be achieved natively on an unconventional computing substrate. What You'll Do - Model Development: Design, train, and scale next-generation language and reasoning architectures (such as transformers, state space models, diffusion/flow models, and deep equilibrium models) specifically tailored for unconventional compute. - Physics-Informed Architecture: Rethink standard sequence modeling to exploit the continuous-time dynamics of silicon, moving away from layers of inefficient digital abstraction. -

", "datePosted": "2026-04-14T22:27:04.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Unconventional AI", "value": "7f1644536b44ac5f4ae57b10071f6a2d" }, "hiringOrganization": { "@type": "Organization", "name": "Unconventional AI" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "USA" }, "directApply": false, "jobBenefits": "Unlimited PTO", "incentiveCompensation": "Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-systems-language-and-reasoning-models-7f164453" } }, { "@type": "ListItem", "position": 4, "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-silicon-design-verification-3062dfa8", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "AI Silicon, Design Verification", "description": "

AI Silicon, Design Verification at Unconventional AI - Palo Alto, CA I US Remote - AI Silicon, Design Verification Palo Alto, CA I US Remote About Unconventional: Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. Responsibilities: - Verification Strategy & Architecture: Define, architect, and implement comprehensive verification plans and environments for IP blocks and full chip from specification to tape-out. - Methodology and Infrastructure: help build verification infrastructure from ground zero to flexible and nimble environments, able to move quickly and scale for growth. - Testbench Ownership: Take full ownership of the verification lifecycle, including the development and maintenance of scalable testbenches, sophisticated test cases, and robust verification environments. - Advanced Methodology Execution: Deploy industry-standard methodologies (UVM/SystemVerilog) to conduct constrained-random stimulus generation, coverage-driven verification, and assertions. - Cross-Functional Integration: Collaborate closely with digital and analog design teams, as well as software and systems teams, to define verification requirements, debug complex hardware/software interactions, and ensure design integrity. - Analysis & Closure: Perform exhaustive analysis of functional and code coverage. Debug failures at

", "datePosted": "2026-04-06T17:35:57.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Unconventional AI", "value": "3062dfa8191b015e4d643e2b4e3299cd" }, "hiringOrganization": { "@type": "Organization", "name": "Unconventional AI" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "USA" }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-silicon-design-verification-3062dfa8" } }, { "@type": "ListItem", "position": 5, "url": "https://fewerjobs.com/jobs/unconventional-ai/junior-system-modeling-3bdea815", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Junior System Modeling", "description": "

Junior System Modeling at Unconventional AI - Palo Alto, CA I US Remote - Junior System Modeling Palo Alto, CA I US Remote About Unconventional AI We are rethinking the foundations of the computer to optimize energy efficiency for AI. Founded by pioneers in the field - including Naveen Rao (Nervana, MosaicML) and Michael Carbin (MIT, MosaicML) - we are building a new computational substrate that interfaces directly with the physics of silicon to achieve biology-scale efficiency. We recently raised $475M in seed funding to turn this vision into reality. As a Junior Member of Technical Staff, System Modeling , you will work closely with senior engineers to contribute to the development of our multi-disciplinary simulation frameworks. You will assist the hands-on R&D team in building simulation environments that enable rapid iteration and testing across all layers of our unconventional physics-based computing systems for machine learning workloads. Your work will focus on integrating physics-based models, developing GPU-accelerated simulations, and supporting the cross-layer system integration necessary for "Extreme co-design". Key Responsibilities - Contribute to the implementation and optimization of GPU-accelerated simulators for ML on analog/unconventional hardware, focusing on specific modules and features within PyTorch. - Assist in integrating physics-based device and system models into the PyTorch simulation environment to help expose early algorithm-hardware tradeoffs and enable cross-layer optimization. - Support the maintenance and extension of the unified end-to-end simulation environment, helping to link theory, algorithms, and device models, and ensuring alignment between high-level and near-physical simulators. - Help implement and adhere to robust experiment tracking protocols to ensure simulation results, configurations, and non-idealities are reproducible

", "datePosted": "2026-04-01T21:01:58.000Z", "employmentType": "INTERN", "identifier": { "@type": "PropertyValue", "name": "Unconventional AI", "value": "3bdea8150caaf6e7e0a0c0e7e5eb9539" }, "hiringOrganization": { "@type": "Organization", "name": "Unconventional AI" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "USA" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/unconventional-ai/junior-system-modeling-3bdea815" } }, { "@type": "ListItem", "position": 6, "url": "https://fewerjobs.com/jobs/unconventional-ai/system-modeling-simulation-991a9206", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "System Modeling (Simulation)", "description": "

System Modeling (Simulation) at Unconventional AI - Palo Alto, CA I US Remote - System Modeling (Simulation) Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, System Modeling (Dynamic Systems Simulation), you will be part of a hands-on R&D team building simulation frameworks that bridge the gap between SPICE-level physical reality and AI framework-level algorithmic abstraction. You will be part of a hands-on R&D team building custom, high-speed and, high-fidelity behavioral simulators that enable rapid iteration across all layers of unconventional physics-based computing systems. “Extreme co-design” is our guiding principle. We need tools that simulate complex analog and mixed-signal systems millions of times faster than traditional circuit simulators, without losing the critical dynamics that govern system behavior. System Modeling is a multi-disciplinary effort, and the team we're building reflects that. The role involves development of physics-based system models, GPU-accelerated ML system simulations, and cross-layer system integration. You don't need to be an expert in all

", "datePosted": "2026-04-01T20:33:30.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Unconventional AI", "value": "991a920683def699baa2a638eb2617fd" }, "hiringOrganization": { "@type": "Organization", "name": "Unconventional AI" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "USA" }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/unconventional-ai/system-modeling-simulation-991a9206" } }, { "@type": "ListItem", "position": 7, "url": "https://fewerjobs.com/jobs/unconventional-ai/system-modeling-performance-models-f1421c86", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "System Modeling (Performance Models)", "description": "

System Modeling (Performance Models) at Unconventional AI - Palo Alto, CA I US Remote - System Modeling (Performance Models) Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, System Modeling (Performance Models), you will be part of a hands-on R&D team building simulation frameworks that enable evaluation and rapid iteration across all layers of unconventional physics-based computing systems for machine learning workloads. “Extreme co-design” is our guiding principle. System Modeling is a multi-disciplinary effort, and the team we're building reflects that. The role involves development of physics-based system models, GPU-accelerated ML system simulations, and cross-layer system integration. You don't need to be an expert in all of these, but you have to be very strong in at least one, and solid in the rest. Responsibilities You will be responsible for one or more of the following tasks: - Building extensible and composable high-fidelity power, performance and area estimation tools for novel AI acceleration system architectures to

", "datePosted": "2026-04-01T20:29:27.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Unconventional AI", "value": "f1421c86a43c0f68e07c4726441db327" }, "hiringOrganization": { "@type": "Organization", "name": "Unconventional AI" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "USA" }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/unconventional-ai/system-modeling-performance-models-f1421c86" } }, { "@type": "ListItem", "position": 8, "url": "https://fewerjobs.com/jobs/unconventional-ai/system-modeling-computation-797986be", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "System Modeling (Computation)", "description": "

System Modeling (Computation) at Unconventional AI - Palo Alto, CA I US Remote - System Modeling (Computation) Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, System Modeling (Computation), you will be part of a hands-on R&D team building simulation frameworks that enable evaluation and rapid iteration across all layers of unconventional physics-based computing systems for machine learning workloads. “Extreme co-design” is our guiding principle. System Modeling is a multi-disciplinary effort, and the team we're building reflects that. The role involves development of physics-based system models, GPU-accelerated ML system simulations, and cross-layer system integration. You don't need to be an expert in all of these, but you have to be very strong in at least one, and solid in the rest. Responsibilities You will be responsible for one or more of the following tasks: - Architecting Foundational Solvers: Building large-scale, GPU-accelerated, high-fidelity numerical differential equation solvers (ODE, SDE, CDE, PDE). You will build tools that

", "datePosted": "2026-04-01T20:14:10.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Unconventional AI", "value": "797986be4d4247f481d92de0a84bebcb" }, "hiringOrganization": { "@type": "Organization", "name": "Unconventional AI" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "USA" }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/unconventional-ai/system-modeling-computation-797986be" } }, { "@type": "ListItem", "position": 9, "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-theory-0754f940", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "AI Theory", "description": "

AI Theory at Unconventional AI - Palo Alto, CA I US Remote - AI Theory Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team. We are looking for 'first principles' thinkers who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture. You will be responsible for driving invention, prototyping, and validation of the core components of our novel computing platform. Your work will be fluid and could span from theoretical modeling and simulation to algorithm development, hardware/software co-design, or experimental validation in collaboration with other team members. We're hiring exceptional problem-solvers who can navigate deep uncertainty and help chart our technical roadmap. What We're Looking For - Exceptional technical ability in a quantitative field (e.g., Physics, Computer Science, Electrical Engineering, Applied Math, or a related discipline). An MS/PhD or equivalent research/project experience

", "datePosted": "2025-12-11T17:44:40.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Unconventional AI", "value": "0754f940ef6d4ccece0f63afe78df515" }, "hiringOrganization": { "@type": "Organization", "name": "Unconventional AI" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "USA" }, "directApply": false, "jobBenefits": "Unlimited PTO", "incentiveCompensation": "Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-theory-0754f940" } }, { "@type": "ListItem", "position": 10, "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-systems-3d844819", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "AI Systems", "description": "

AI Systems at Unconventional AI - Palo Alto, CA - AI Systems Palo Alto, CA About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, AI Systems, you will develop state-of-the-art architectural components, write their bespoke implementations for our unconventional software framework, and map them efficiently down to the physical silicon. You are critical to preparing our software stack for upcoming tapeouts by acting as the bridge between model architecture and physical compute. What You'll Do - AI Architectural Modeling: Co-design and evaluate next-generation AI models (e.g, transformers, diffusion, flow, and energy-based models). You will collaborate closely across the team to combine, modify, and implement core modeling components, including both conventional (e.g., attention, normalization, Mixture-of-Experts, FFNs) and unconventional components. You will ensure that they function optimally across our novel compute substrates. - Performance Modeling & Scaling: Establish and test scaling laws specific to our novel hardware. Develop rigorous performance models to evaluate compute vs. memory trade-offs - Advanced

", "datePosted": "2025-11-26T23:12:59.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Unconventional AI", "value": "3d844819d26a7723d697921dded677bd" }, "hiringOrganization": { "@type": "Organization", "name": "Unconventional AI" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Palo Alto" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-systems-3d844819" } }, { "@type": "ListItem", "position": 11, "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-hardware-architecture-9be38b52", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "AI Hardware Architecture", "description": "

AI Hardware Architecture at Unconventional AI - Palo Alto, CA - AI Hardware Architecture Palo Alto, CA About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team. This isn't a role with a predefined checklist; it's an opportunity to help define the "what" and the "how." We are looking for 'first principles' thinkers who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture. You will be responsible for driving invention, prototyping, and validation of the core components of our novel computing platform. Your work will be fluid and could span from theoretical modeling and simulation to algorithm development, hardware/software co-design, or experimental validation in collaboration with other team members. We're hiring exceptional problem-solvers who can navigate deep uncertainty and help chart our technical roadmap. Responsibilities We are seeking exceptional individuals who will help to propose, design, and

", "datePosted": "2025-11-26T21:11:14.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Unconventional AI", "value": "9be38b52b78611f85734038ec9fde80e" }, "hiringOrganization": { "@type": "Organization", "name": "Unconventional AI" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Palo Alto" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-hardware-architecture-9be38b52" } }, { "@type": "ListItem", "position": 12, "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-silicon-analog-design-97f2b996", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "AI Silicon, Analog Design", "description": "

AI Silicon, Analog Design at Unconventional AI - Palo Alto, CA - AI Silicon, Analog Design Palo Alto, CA About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team. This isn't a role with a predefined checklist; it's an opportunity to help define the "what" and the "how." We are looking for 'first principles' thinkers with deep understanding of the fundamentals of analog mixed-signal design who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture. You will be responsible for driving invention, prototyping, and validation of the core components of our novel computing platform. Responsibilities - Design & Architecture: Define, architect, and implement complex analog mixed-signal circuits from specification to GDSII in deep sub-micron CMOS technologies - Core Block Ownership: Take ownership of the full design cycle for critical IP blocks. - Verification & Simulation: Conduct comprehensive pre-layout

", "datePosted": "2025-11-26T20:54:02.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Unconventional AI", "value": "97f2b9966790f5c7740bbf4e16ea07f8" }, "hiringOrganization": { "@type": "Organization", "name": "Unconventional AI" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Palo Alto" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/unconventional-ai/ai-silicon-analog-design-97f2b996" } } ] } ] }