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  • Manager - Fitout

    Curtiss-Wright - BNG - VR Banagaluru
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 99 days ago

    Why we showed this

    Role: semantic match
    Unspecified Other - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Manager - Fitout BNG - VR Banagaluru posted: Posted 30+ Days Ago

  • Postdoctoral Fellow - Applied Machine Learning in Quantum Systems

    QuEra Computing - Boston, MA USA
    Indexed from Greenhouse Comp disclosed in posting
    posted 173 days ago

    Why we showed this

    Description: "loop"
    Unspecified Data From the posting source - Staff Plus From the posting source $110K-$120K From the posting source Equity

    Postdoctoral Fellow - Applied Machine Learning in Quantum Systems Boston, MA USA Summary This role focuses on developing computational methods for in-the-loop stabilization of neutral atom Logical Quantum Processing Units (LQPUs). The position sits at the interface of quantum hardware and control systems, supporting both near-term experimental performance and the long-term development of control architectures for stable, fault-tolerant computing. The successful candidate will design and prototype state-of-the-art methods to enable reliable quantum operations and translate device measurements into actionable control feedback. Responsibilities include advancing capabilities such as measurement-informed feedback control and machine learning-driven inference. Key Responsibilities - Develop and deploy machine learning models for high-fidelity quantum operation inference and control prediction. - Design and prototype in-the-loop control mechanisms that adapt sequences based on measurement outcomes and system state. - Collaborate with physics, quantum error-correction, hardware, and control teams to validate new stack components using experimental data and system-level performance Required Qualifications - Ph.D. or equivalent experience in Physics, Computer Science, Electrical Engineering, or a related field, with a strong background in quantum computing or quantum physics. - Experience working with quantum computing platforms (neutral atoms, trapped ions, superconducting qubits, or similar). - Demonstrated experience working with Machine Learning for inference and hardware in loop. - Strong programming skills in Python, C++, or similar languages. - Strong analytical and problem-solving skills, with the ability to take technical ownership. - Effective communication skills and the ability to collaborate across physics, engineering, and software teams. - Proficiency with Git and modern collaborative development

  • Principal AI Engineer

    Salesforce - California - San Francisco; Washington - Seattle; Illinois - Chicago; California - Palo Alto; New York - New York; Washington - Bellevue
    Indexed from Phenom Umbraco Benefit evidence checked May 7, 2026 Comp disclosed in posting
    posted 82 days ago

    Why we showed this

    Description: "loop"
    Unspecified Engineering From the posting source - Principal From the posting source Resolvable source Verified parental leave: 26 wksource Inferred from posting Verified non-birth-parent leave: 12 wk $238K-$345K From the posting source Equity Inferred from posting 401(k) reported

    Principal AI Engineer California - San Francisco; Washington - Seattle; Illinois - Chicago; California - Palo Alto; New York - New York; Washington - Bellevue We are seeking a highly skilled AI Platform Engineer to play a pivotal role in building the next generation of our ML/AI platform that doesn't just support ML models, but powers autonomous AI agents at enterprise scale. This role sits at the intersection of platform infrastructure and agent systems engineering. You'll build and maintain the core infrastructure, CI/CD pipelines, and platform services that underpin our machine learning initiatives and go further in designing the harnesses, sandboxes, and evaluation frameworks that let AI agents be developed, tested, and trusted in production. You'll work on systems that directly impact marketing, sales, service, and product growth verticals across the organization. This isn't a traditional infrastructure role. You should be comfortable wearing multiple hats of software engineering, agent systems design, and evaluation tooling. We're looking for engineers who think in flywheels: build →evaluate → improve → ship → repeat. What You'll Do Agent Harness & Flywheel Engineering Design and build agent harness infrastructure: the scaffolding that wraps LLM calls, manages tool use, handles retries, enforces policy, and feeds results back into iterative improvement loops. Implement agentic loop patterns with multi-turn reasoning, tool orchestration, memory management, and structured output handling as reusable platform primitives Build the agent flywheel: automated pipelines that collect agent traces, surface regressions, route failures to evaluation, and close the loop from production signal back to prompt/model

  • Junior Engineer

    CACI - 2 Locations
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 79 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Entry From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Junior Engineer 2 Locations posted: Posted 11 Days Ago

  • Manager of Engineering - Autonomous Pilot Integration - Emerging Domains (R5176)

    Shield AI - United States
    Indexed from Lever Benefit evidence checked Jun 7, 2026
    posted 68 days ago

    Why we showed this

    Description: "loop"
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported Secret clearance

    Manager of Engineering - Autonomous Pilot Integration - Emerging Domains (R5176) United States Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Autonomous Pilot Integration team for emerging domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios - including space (satellites, missile defense), maritime (USV and UUV integration), and contested logistics (unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts - often standing up the first autonomy on a brand-new platform or for a brand-new mission - with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK - selectively leveraging existing Shield AI autonomy solutions where they apply - to develop autonomy that runs on these new platforms. Our engineers write new autonomy code - such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy - and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead a team of autonomy engineers tackling autonomy across

  • Relationship Banker - Mentor

    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 68 days ago

    Why we showed this

    Role: semantic match
    Unspecified Finance From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Relationship Banker - Mentor Mentor posted: Posted Today

  • Lead AI Engineer, Data Solutions

    Salesforce - California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York
    Indexed from Phenom Umbraco Benefit evidence checked May 7, 2026 Comp disclosed in posting
    posted 82 days ago

    Why we showed this

    Description: "loop"
    Unspecified Engineering From the posting source - Senior From the posting source Resolvable source Verified parental leave: 26 wksource Inferred from posting Verified non-birth-parent leave: 12 wk $208K-$286K From the posting source Equity Inferred from posting 401(k) reported

    Lead AI Engineer, Data Solutions California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York We are looking for a Lead AI Engineer to build next-generation AI and ML systems at Salesforce. This role focuses on developing intelligent decisioning systems and building an agent flywheel-a system of feedback loops that continuously evaluate, optimize, and improve agent performance over time. This is an applied AI role with strong data and systems ownership. You will build models and agents and the data pipelines and evaluation loops that enable continuous learning in production. What You'll Do Build the Agent Flywheel Design feedback loops that enable agents and ML systems to improve from real-world outcomes Track outcomes (engagement, conversion, quality) and evaluate agent performance Build pipelines that collect and structure agent traces into training and evaluation datasets Drive continuous improvement via prompting, policies, model selection, and fine-tuning Develop ML & Agent Systems Build and deploy ML models (classification, ranking, forecasting, recommendation) Design AI agents that combine LLM reasoning, tool usage, and ML decisioning Implement reusable patterns for multi-step reasoning, tool orchestration, and structured outputs Integrate models and agents into business-critical workflows Own Data & Model Pipelines Design and build scalable data pipelines (batch and near real-time) for training, evaluation, and inference Transform raw interaction data into features, labels, and evaluation datasets Enable continuous retraining and evaluation through tightly coupled data + model pipelines Ensure data quality, consistency, and reliability Evaluation & Experimentation Build offline and online evaluation frameworks Develop

  • Consultant

    Neural Magic - Canberra
    Indexed from Workday
    posted 99 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed

    Consultant Canberra posted: Posted 30+ Days Ago

  • Senior Field Service Engineer - Remote

    Wabtec - Remote | Pittsburgh, PA, United States
    Indexed from Smartrecruiters Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 70 days ago

    Why we showed this

    Description: "loop"
    Remote From the posting source Engineering From the posting source - Senior From the posting source $69K-$98K From the posting source Equity Inferred from posting 401(k) reported

    Senior Field Service Engineer - Remote Remote | Pittsburgh, PA, United States Company Description: Job Description: Bloom Engineering, a Wabtec Company, improves the environmental sustainability and performance of industrial heating applications, with a strong focus on the aluminum and steel industries. Headquartered in Pittsburgh, USA, since 1934, Bloom Engineering serves a global customer base through subsidiaries in Germany, India, and China. Leveraging deep expertise in furnace and heating applications, Bloom Engineering helps customers reduce CO₂ and NOₓ emissions, transition to sustainable fuel sources, increase production capacity, improve temperature uniformity, reduce fuel consumption, and enhance operating flexibility-delivering meaningful competitive advantage. Position Summary Bloom Engineering Company is seeking a highly experienced Senior Field Service Engineer to support customers throughout the United States. This role serves as a primary technical authority and customer-facing service representative, responsible for leading onsite commissioning, advanced troubleshooting, maintenance, and long-term support of industrial combustion and heating systems. The ideal candidate brings deep hands-on technical expertise, strong customer relationship skills, and the ability to operate independently with scheduling and administrative support from the Field Service Coordinator. Effectiveness will require collaboration with U.S.-based engineering, sales, and service teams. Key Responsibilities Lead commissioning, troubleshooting, maintenance, and optimization of new, existing, and retrofitted industrial combustion systems across the United States and occasionally internationally Perform advanced diagnostics and root cause analysis on complex mechanical, electrical, and controls-related system issues Review, adjust, and support PID loop programming in single- and multi-loop control systems Utilize, interpret, and analyze data from electronic diagnostic tools such as

  • Principal Mechanical Engineer

    Ingredion - 4 Locations
    Indexed from Workday
    posted 99 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Staff Plus From the posting source Salary not disclosed Equity

    Principal Mechanical Engineer 4 Locations posted: Posted 30+ Days Ago

  • Manager of Engineering - Autonomous Pilot Integration (R5153)

    Shield AI - United States
    Indexed from Lever Benefit evidence checked Jun 7, 2026
    posted 69 days ago

    Why we showed this

    Description: "loop"
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported Secret clearance

    Manager of Engineering - Autonomous Pilot Integration (R5153) United States Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware - for U.S. and international defense customers. Our engineers write new autonomy code - such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy - and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead a team of autonomy engineers working on launched effects programs - owning their delivery, their growth, and the technical health of your area. A core part of the job is growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development. You'll stay technically active - close enough

  • Data Engineer - Intermediate

    Equifax - CRI-Sabana
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 69 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Data Engineer - Intermediate CRI-Sabana posted: Posted Yesterday

  • Manager, Data Scientist

    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 99 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Manager, Data Scientist 2 Locations posted: Posted 30+ Days Ago

  • Sr. Director, GTM Enablement

    Pendo - Raleigh, NC / NYC / San Francisco
    Indexed from Greenhouse Comp disclosed in posting
    posted 76 days ago

    Why we showed this

    Description: "loop"
    Unspecified Hr From the posting source - Director Plus From the posting source $221K-$265K From the posting source Equity Unknown provenance 401(k) reported

    Sr. Director, GTM Enablement Raleigh, NC / NYC / San Francisco The Team + The Role Pendo's GTM Enablement function builds the playbook, systems, and reinforcement loops that help customer-facing teams perform consistently and measurably. The team partners across Sales, Customer Engineering, Revenue Operations, and GTM AI Operations to translate strategy into field behavior that improves revenue outcomes. As Senior Director, GTM Enablement, you will own the enablement operating system for Pendo's Revenue organization. You will scale Command of the Message reinforcement, build AI-native practice and certification loops, strengthen role-based onboarding, and connect enablement activity to measurable outcomes like ramp time, attainment distribution, pipeline quality, and retention. This role leads a team across role architecture, technical architecture, GTM readiness, and program management, and partners directly with senior GTM leaders to drive decisions that stick. This is a role based in-office in Raleigh, New York, or San Francisco, or Remote in the United States. What this looks like day-to-day - Command of the Message scale: Own the next phase of Pendo's Command of the Message implementation, including reinforcement, manager accountability, AI-assisted practice loops, and certification cycles. Ensure all ramped Account Executives, Account Directors, and Customer Engineers achieve and maintain CotM fluency through Exec.com certification and continuous reinforcement. - Manager enablement: Build manager-specific enablement tracks that make first-line and second-line managers active owners of change. Establish coaching accountability checkpoints, measure manager adoption, and ensure managers can coach the methodology in deal reviews and field interactions. - AI-native reinforcement: Design reinforcement that happens

  • Manager of Engineering - Autonomous Pilot Integration - Expeditionary (R5175)

    Shield AI - United States
    Indexed from Lever Benefit evidence checked Jun 7, 2026
    posted 68 days ago

    Why we showed this

    Description: "loop"
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported Secret clearance

    Manager of Engineering - Autonomous Pilot Integration - Expeditionary (R5175) United States Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Autonomous Pilot Integration team for expeditionary platforms builds autonomy solutions for V-BAT - an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware - for U.S. and international defense customers. Our engineers write new autonomy code - such as mission behaviors, platform-specific control (including VTOL transitions), multi-agent coordination, contingencies, and executive autonomy - and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead a team of autonomy engineers

  • Director Of Engineering - ADAPT

    Stage - Gurugram
    Indexed from Greenhouse
    posted 72 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Staff Plus From the posting source Salary not disclosed

    Director Of Engineering - ADAPT Gurugram

  • Help Desk Engineer

    Leidos - 3 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 99 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 4 wksource Resolvable source Verified non-birth-parent leave: 4 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Help Desk Engineer 3 Locations posted: Posted 30+ Days Ago

  • Estimator - Water & Wastewater

    HAYDON - Haydon Main Office, 4640 E Cotton Gin Loop, Phoenix, Arizona, United States of America
    Indexed from Ceridian Dayforce
    posted 70 days ago

    Why we showed this

    Description: "loop"Location: "loop"
    Unspecified Operations From the posting source - Mid From the posting source Salary not disclosed

    Estimator - Water & Wastewater Haydon Main Office, 4640 E Cotton Gin Loop, Phoenix, Arizona, United States of America Estimator - Water & Wastewater Haydon Main Office, 4640 E Cotton Gin Loop, Phoenix, Arizona, United States of America Posted Wednesday, May 6, 2026 SUMMARY Provide and/or coordinate full estimating services on small to large, complex water and wastewater infrastructure projects and all types of contracts. This position supports accurate pricing, risk evaluation, and pursuit strategy for treatment facilities, pump stations, lift stations, wells, pipelines, and related systems. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Review proposal specifications and drawings to determine scope of work and required contents of estimate. Prepare complete quantity takeoffs and discipline estimates for water and wastewater construction projects. Develop labor, equipment, material, subcontractor, and indirect cost pricing. Maintain organized estimating files and backup documentation supporting estimate figures and assumptions. Estimate treatment plants, pump stations, pipelines, process/mechanical piping, concrete structures, earthwork, and site utilities. Solicit, review, and level subcontractor and supplier proposals. Review design options and recommend best solutions based on cost, constructability, and schedule impacts. Support estimating and preconstruction teams as required, including assistance on alternate delivery pursuits. COMPETENCIES To perform the job successfully, an individual should demonstrate the following competencies: Planning/Organizing - Prioritizes and plans work activities; uses time efficiently; develops realistic action plans. Innovation - Displays original thinking and creativity; develops innovative estimating approaches. Use of Technology - Demonstrates required skills; uses estimating software and digital tools to increase

  • Senior AI Compiler Engineer - Applied Research

    NVIDIA Corporation - 6 Locations
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 69 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior AI Compiler Engineer - Applied Research 6 Locations posted: Posted Yesterday

  • Javelin Proposal Analysis Manager

    Pratt & Whitney - tucson, Arizona, United States of America
    Indexed from Phenom People
    posted 174 days ago

    Why we showed this

    Description: "loop"
    Onsite - 5d office From the posting source Operations From the posting source - Mid From the posting source Salary not disclosed US citizenship required

    Javelin Proposal Analysis Manager tucson, Arizona, United States of America Date Posted. 2026-02-26Country. United States of AmericaLocation. US-AZ-TUCSON-M10 ~ 3360 E Hemisphere Loop ~ BLDG M10Position Role Type. Onsite. U.S. Citizen, U.S. Person, or Immigration Status Requi...

  • Lead ME Engineer

    Jabil - Sanchong
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 90 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Lead ME Engineer Sanchong posted: Posted 22 Days Ago

  • Senior Principal Engineer - Warhead/Lethality

    Pratt & Whitney - tucson, Arizona, United States of America
    Indexed from Phenom People
    posted 126 days ago

    Why we showed this

    Description: "loop"
    Onsite - 5d office From the posting source Engineering From the posting source - Principal From the posting source Salary not disclosed US citizenship required

    Senior Principal Engineer - Warhead/Lethality tucson, Arizona, United States of America Date Posted. 2026-04-15Country. United States of AmericaLocation. US-AZ-TUCSON-M09 ~ 3350 E Hemisphere Loop ~ BLDG M09Position Role Type. Onsite. U.S. Citizen, U.S. Person, or Immigration Status Requi...

  • posted 97 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed

    Senior Full Stack Engineer - WhoSampled London Every great song has a story behind it: a sample flipped into something new, a melody borrowed and reborn, a classic reinterpreted for a new generation. WhoSampled is where those stories live. WhoSampled is the world's leading database of music samples, interpolations, cover songs, and remixes. Built over more than a decade by a passionate community of over 40,000 contributors, and verified by a dedicated team of moderators, it's become the definitive archive of music's creative lineage - visited by millions of fans each year. In late 2025, WhoSampled joined Spotify, powering SongDNA: a new experience that lets listeners explore the samples, covers, and interpolations woven into the music they love. We're a small team with an outsized impact, and we're growing. As a Senior Fullstack Engineer, you'll be one of the first engineering hires into this team - a genuine opportunity to shape how WhoSampled evolves as a standalone product and as a foundational layer within Spotify's ecosystem. As a small team, our work spans across the stack: you'll work as much on data pipelines and backend APIs as you will on our web app. The ideal candidate is a generalist at heart - someone who's equally at home writing a Django view, tuning a PostgreSQL query, or shipping a UI improvement, and someone who gets results without waiting for someone else to own adjacent layers. Every great song has a story behind it: a sample flipped into something new, a melody

  • Senior Mechanical Producibility Engineer

    Pratt & Whitney - tucson, Arizona, United States of America
    Indexed from Phenom People
    posted 121 days ago

    Why we showed this

    Description: "loop"
    Onsite - 5d office From the posting source Engineering From the posting source - Senior From the posting source Salary not disclosed US citizenship required

    Senior Mechanical Producibility Engineer tucson, Arizona, United States of America Date Posted. 2026-04-20Country. United States of AmericaLocation. US-AZ-TUCSON-M09 ~ 3350 E Hemisphere Loop ~ BLDG M09Position Role Type. Onsite. U.S. Citizen, U.S. Person, or Immigration Status Requi...

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