Jobs in United States

Hardware Tools Engineer in United States

408 active opportunities · Updated October 2026

Explore current hardware tools engineer jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -88%

About the Team The Industrial Compute team is responsible for building the physical infrastructure that powers OpenAI’s largest-scale AI systems. We design, deploy, and operate next-generation compute infrastructure across a rapidly expanding global footprint, combining OpenAI-owned infrastructure with strategic cloud and infrastructure partners to support frontier AI workloads. As our infrastructure footprint grows, operational excellence across third-party providers becomes increasingly critical. Our team ensures external infrastructure partners consistently deliver the reliability, performance, and operational maturity required to support OpenAI’s rapidly expanding compute environment. About the Role We are seeking a Hardware Technical Program Manager, Infrastructure Partner Operations to lead operational delivery across OpenAI’s third-party infrastructure partners, including major cloud service providers and strategic compute vendors. In this role, you will serve as the primary operational program manager for external infrastructure partners, driving accountability for service delivery, operational readiness, incident management, performance reporting, and continuous operational improvement. You will work closely with partner engineering and operations teams while coordinating internally across Hardware Engineering, Infrastructure Operations, Capacity Planning, Networking, Supply Chain, Deployment, Reliability Engineering, and executive leadership. Success in this role requires someone who understands how hyperscale infrastructure organizations operate, can establish strong operational governance with external partners, and is comfortable driving complex technical programs without direct ownership of the underlying infrastructure. Key Responsibilities Own operational engagement with third-party infrastructure providers, ensuring consistent execution against operational commitments, service-level agreements (SLAs), and performance expectations. Develop operationa

AWSAzureGCPRest
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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -88%

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Industrial Compute organization develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads. The Hardware Operations team is responsible for ensuring the reliability, availability, and lifecycle health of OpenAI’s compute infrastructure. We partner closely with Data Center Operations, Fleet Health Engineering, Manufacturing, Network Infrastructure, Capacity Planning, and our infrastructure partners to maintain world-class operational performance across rapidly expanding AI environments. As we scale globally, we are building the operational frameworks, reliability standards, and sustaining engineering practices required to support thousands of GPUs and servers across multiple campuses. About the Role We are seeking a Datacenter Hardware Technician Lead to serve as the senior on-site technical authority for hardware reliability and fleet health at one of OpenAI’s flagship AI campuses. This role operates at the intersection of hardware operations, sustaining engineering, and fleet reliability. You will partner closely with Cloud Service Provider operations teams, OpenAI fleet-health engineers, hardware engineering teams, and OEM vendors to identify, diagnose, and resolve hardware issues affecting production systems. Beyond day-to-day operational support, you will drive root cause investigations, reliability improvement initiatives, lifecycle management programs, and operational readiness efforts. You will help establish hardware maintenance standards, operational procedures, and best practices that scale across future OpenAI infrastructure deployments. The ideal candidate combines deep hands-on datacenter hardware expertise with strong troubleshooting, failure analysis, and cross-functional leadership skills. Candidates must be able to sit onsite at our

AWSLinuxRestAI
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📍 Austin, Texas, United States
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

PythonArtificial IntelligenceAI
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📍 Austin, Texas, United States· Full-time
✓ Quality checked

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. This role sits at the center of cutting-edge AI hardware development, keeping the servers, PCIe systems, and engineering infrastructure running that power next-generation compute. You’ll be hands-on with rapidly evolving prototype and production systems, installing, maintaining, and troubleshooting hardware in fast-paced R&D and data center environments. Acting as a critical bridge between hardware engineers, software teams, and IT, you’ll help ensure seamless access to the platforms that turn ideas into working silicon and systems. This role is onsite, based out of Toronto, Canada or Austin, Texas. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A hands-on hardware professional who enjoys building, maintaining, and troubleshooting complex computing systems. Comfortable working in fast-paced R&D environments where hardware, firmware, and software are constantly evolving. Knowledgeable in computer architecture, operating systems, and hardware diagnostics, with strong problem-solving skills. Collaborative, detail-oriented, and motivated to improve processes through documentation, scripting, and automation. What We Need Inst

AWSAISEMHR
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📍 Austin, Texas, United States· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

PythonAIExcelHR
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📍 Austin, Texas, United States· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

1743 - This position is in Austin, Texas. Position Summary We are seeking an experienced Board-Level Hardware Validation Engineer to define and execute the validation and verification of complex electronic systems throughout the product lifecycle. This role is responsible for defining validation strategies, developing test plans, executing hands-on testing, analyzing failures, and working directly with ODM partners to ensure products meet performance, reliability, quality, and compliance requirements before mass production. The ideal candidate combines strong electrical engineering fundamentals with practical lab expertise and is comfortable personally performing validation activities while coordinating with cross-functional teams and manufacturing partners. Key Responsibilities Validation Strategy & Planning Define comprehensive board-level and inter-board validation plans based on product requirements, design specifications, and customer use cases. Develop validation methodologies covering functional, electrical, thermal, power, signal integrity, reliability, and stress testing. Establish test coverage, acceptance criteria, qualification requirements, and release gates. Review hardware architecture, schematics, component specifications, and interface topologies to identify validation risks early in the design cycle. Define incremental validation and regression coverage for component substitutions, design changes, and firmware updates. Hands-On Validation Execution Develop, automate, and execute validation tests on prototype and production-intent hardware. Perform board bring-up, functional verification, electrical characterization, and system-level integration testing. Validate communication interfaces, control signals, and timing requirements. Verify power sequencing, reset behavior, leakage current, and recovery across operating states. Execute temperature and voltage corner testing against approved operating limits. Use oscilloscopes, logic an

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📍 Berkeley, Macau S.a.r., United States
✓ Quality checkedCompany trend -20.1%

Vehicle Management System (VMS) Hardware Engineer (Experienced) Company: The Boeing Company Boeing Defense, Space & Security (BDS) Flight Systems Engineering Capability is currently seeking an Experienced Vehicle Management Systems Hardware Engineer to join the Air Dominance Vehicle Management System (VMS), Hardware team located in Berkeley, MO. You will work across engineering disciplines to help us design elements of the Vehicle Management Systems (VMS) hardware. You will collaborate with our requirements and labs teams to implement and test your designs. Mechanical, Electrical, Aerodynamics, and other engineers are all welcome – to succeed in this role, you will need to leverage your area of expertise and quickly learn on the job about other areas to develop capabilities for our Vehicle Management System Computer. You will get to see tangible results of your efforts as you contribute to exciting aircraft development programs in St. Louis. Develops and documents moderately complex electronic and electrical s system requirements. Design hardware, and interfaces specifications. Test and validates to ensure designs meet operational and functional requirements Assist in monitoring supplier performance to ensure integration and compliance with requirements Solves problems concerning fielded hardware over the entire product cycle Researches specific technology advances for potential application to company business Analyze solutions to ensure ongoing operation of products thru life cycle Position Responsibilities: Lead requirements decomposition and traceability from customer need to testable design Develop, document,

Recruitment
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📍 Austin, Texas, United States· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

We are looking for a disciplined and dynamic, Lead System Engineer – compute blade and rack Validation to join our growing compute rack validation team. As a diligent leader in Systems Engineering, you will drive multiple aspects of validation throughout the life cycle of the program. In this high visibility position, you will be part of a leading team to innovate and improve system bring-up and enablement abilities, as well as silicon and system validation to deliver the highest quality, industry leading technologies to market. Your technical leadership skills, validation and debug expertise will be necessary towards product development, definition, root cause and resolution. Your agility and collaborative approach will be essential to work within System Validation & other engineering teams (System Architects, SoC and Rack FW etc). The technical leader will be driving keys areas of system validation including leading first silicon & system bring-up (nodes and rack level systems) - rack level systems and blades will be based of ARM server architecture. Candidate will be immersed in challenging system enablement work, system validation (end-to-end) methodology, tests development and execution as well as triage/debug of critical issues to meet critical program milestones at POR quality. The candidate will also be a key contributor to state-of-the-art HW and lab capabilities for Grapchore’s system engineering. The candidate should be able to work in a global environment while maintaining a synergetic culture. Primary Responsibilities: Lead the systemenablement (including first silicon and other FW components) to ensure system capabilities are brought up as per plan of record and system architecture spec. Drive organization wide methodology for Firmware integration and best known configuration (HW/FW/SW) usage model by leading the release of deployment ready solutions. Develop key methodologies, lab HW and system SW capabilit

LinuxAIGoExcel
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📍 Austin, Texas, United States· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of a best-in-class family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from a diverse group of backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a senior validation lead engineer to lead at-scale rack validation efforts for next-generation AI hyperscale systems. This role focuses on post-silicon system validation across the full lifecycle, ensuring functional, electrical, and thermal performance meets product objectives. You will own end-to-end blade and rack validation including planning, development, execution, and debug while collaborating across firmware, systems, and hardware teams. The Team The Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms. Responsibilities and Duties Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation. Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness. Own execution against program achievements and report validation progress and risks. Triage test failures, collect debug data, and collaborate on root cause analysis. Track

PythonCI/CDLinuxAI
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -88%
Quick readStrong listing-quality and freshness signals

About the Team The Strategic Finance team provides financial insights and guidance to support the organization's long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role We are hiring a Hardware Finance Manager, Consolidations & Systems to own the consolidated financial reporting, forecasting cadence, and financial systems across our hardware organizations (Io and Robotics). This role sits at the intersection of Hardware Finance, central FP&A, Accounting, and Finance Systems, and is responsible for ensuring leadership has a single, accurate, and timely financial view of the hardware business. This role will serve as the embedded owner of the hardware financial backbone, with end-to-end responsibility for consolidated P&L reporting, forecasting and variance analysis, and the systems and processes that enable scalable, decision-ready insights. You will help ensure hardware financials are consistent, auditable, and fit for executive and board-level decision-making as the organization scales in size, complexity, and capital intensity. We have a strong preference for candidates who can be based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will oversee multiple areas of responsibility: Own end-to-end consolidated financial reporting for all hardware organizations (Io and Robotics), delivering a single, integrated P&L view across R&D, Product, Revenue, COGS, and OpEx. Establish and run the hardware financial operating cadence, including monthly close, forecasting, reforecasting, and variance analysis, ensuring consistency and accountability across teams. Serve as a key finance partner to Hardware Finance leads, central FP&A, and Accounting, aligning bottoms-up plans with accounting actuals and enterprise reporting requirements. Build and maintain consoli

AWSRestAIGo
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -88%

About the Team The Hardware Health and Observability team owns the end-to-end health lifecycle of OpenAI’s global compute fleet. Our mission is to maximize healthy, usable compute across accelerator vendors, generations, cloud providers, and regions through reliable health signals, automated remediation, and scalable operational tooling. We build the systems that observe, detect, remediate, and verify hardware issues across GPUs, CPUs, networking, and platform infrastructure, enabling frontier model training and inference workloads to run reliably at hyperscale. We are the last line of defense for the success of OAI’s production and research workloads. About the Role On the Hardware Health and Observability team, you’ll build critical infrastructure that keeps OpenAI’s largest compute clusters healthy and operational at scale. Even small numbers of unhealthy systems can impact large-scale training and inference workloads. This team focuses on minimizing downtime, improving fleet efficiency, and ensuring compute resources remain continuously available to researchers and product teams. Engineers on this team own problems end-to-end, from defining health signals and debugging failures to building automated remediation systems that operate across millions of GPUs globally. In this role, you will: Define and maintain health signals across GPUs, CPUs, networking, and platform infrastructure. Build and evolve health checks that detect, remediate, and verify failures at scale. Ensure critical health checks execute with minimal latency to maximize workload uptime. Investigate hardware failures and system-level issues across large-scale compute environments. Own node lifecycle workflows including drain, quarantine, repair, RMA, and return-to-service processes. Build automation and tooling that enables global cluster management with minimal manual intervention. Partner with workload, reliability, and provider teams to integrate health signals into training and inference system

PythonSQLAWSLinux
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -88%

About the Team OpenAI’s Central Procurement – Hardware Operations team is building scalable, AI-enabled operating foundations for a rapidly growing hardware footprint. We help the business move quickly while maintaining the data quality and controls needed to manage financial and operational risk responsibly. As OpenAI scales across R&D, new-product introduction, manufacturing, and third-party custody models, we are building the foundations to absorb complexity without adding unnecessary friction. That means establishing practical standards, strengthening discipline where it matters, using AI thoughtfully, and continuously improving how teams manage hardware operations. About the Role We are hiring an Asset Compliance Program Lead to establish the cross-business framework that gives OpenAI reliable lifecycle visibility over hardware-related financial assets and capital equipment. You will define the controls, systems roadmap, and evidence practices needed to manage those assets within OpenAI’s financial-control scope. This is a senior individual-contributor role in Central Procurement – Hardware Operations within Finance. Distinct from sourcing and transaction execution, you will partner with hardware business units, Accounting, Financial Risk Management, Procurement, contract manufacturers, and other third-party custodians to deploy practical operating mechanisms. These mechanisms will connect how assets are purchased, built, received, moved, held, verified, and retired with the ownership, data, reporting, and evidence needed for financial governance. The role covers those assets regardless of location or custody, including manufacturing equipment and tooling, supplier- and contract-manufacturer-held assets, leased assets, and other third-party-held equipment. You will stay close to the operational details—how assets move, where records diverge, which controls are not working, and where evidence is incomplete—and use that view to strengthen processes, accountab

AWSRestAIGo
MT
📍 Boise, ID - Main Site, United States
✓ Quality checkedCompany trend +1150%

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. MTS, Interface Pathfinding Hardware Development Engineer About the Role At Micron, our vision is to transform how the world uses information to enrich life for all. As a global leader in memory and storage innovation, we develop technologies that accelerate intelligence and enable the next generation of high-speed interfaces. Micron’s Interface Pathfinding team drives performance-scaling innovation across circuits, signaling, packaging, and interconnects with a 3–5 year technology horizon. As the Interface Pathfinding Hardware Development Engineer , you will own characterization for a high-speed interface test-chip program: the characterization plan and its success criteria, development of the characterization bench hardware and its automation, the measurement-uncertainty budget, and the correlation report proving the silicon matches the models. You will join a small, senior team spanning analog design, layout, digital design, and verification, working closely with the Chip Lead and the Signal Integrity and Physical Design engineers — driving decisions independently while consulting heavily with other experts across Micron. This is a foundational hire for a growing program. Strong execution early is expected to lead to follow-on projects of increasing scope, team size, and characterization complexity — including an expanding mandate for AI-enabled engineering leadership across the organization. What You’ll Own Characterization Planning • Derive the electr

AIRecruitment
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 San Francisco, California, United States· Full-time· Remote
✓ Quality checkedCompany trend -88%

About the Team The Marketing team helps OpenAI bring products, research, and company priorities to the world with clarity, creativity, and impact. We partner across Product, Research, Design, Creative, Communications, Finance, Legal, and Go-to-Market teams to translate complex technology into work that people can understand, trust, and use. Marketing Strategy & Operations builds the operating systems that help this work move with focus and speed. We connect priorities to plans, plans to resourcing, and resourcing to execution, so teams can make better decisions earlier and stay aligned as priorities evolve. About the Role We’re looking for a Strategy & Operations Lead, Hardware Marketing to help build and run the operating system for OpenAI’s Hardware Marketing work. This role will partner closely with Hardware Marketing leadership, Product Marketing, Product, Design, Creative, Production, Communications, Finance, Legal, and external partners to bring structure to a fast-moving, highly cross-functional product area. You will help the team clarify priorities, build plans, manage intake, track decisions, surface risks, frame tradeoffs, and keep critical workstreams moving from planning through operating readiness. This is a strong fit for someone who can operate independently in ambiguity, build practical systems from scratch, and move fluidly between strategy and execution. Experience with complex product launches or sensitive, cross-functional product areas is preferred. This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Build and run the core operating rhythm for Hardware Marketing, including planning cycles, planning reviews, weekly priorities, decision forums, risk tracking, and leadership-ready updates. Partner with Hardware Marketing leadership to translate business and product priorities into clear workstreams, owners, milestones,

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