Hardware Lab Manager Jobs

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.

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.

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.

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.

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Technical Lead to lead deployment and operations for OpenAI’s Silicon & Systems team. This person will become the Directly-Responsible Individual responsible for bringing OpenAI’s custom silicon and associated systems into data center environments, ensuring successful deployment, bring-up, validation, operational readiness, and ongoing reliability at scale. This role sits at the intersection of silicon, systems, infrastructure, data center operations, and software. You will lead a team focused on taking new hardware platforms from lab validation into production data center deployment. You will be responsible for building the operational processes, technical workflows, tooling, and cross-functional alignment required to deploy and operate custom AI hardware reliably in OpenAI’s supercomputing infrastructure. The ideal candidate is both a strong leader and a deeply technical operator. You should be comfortable staying close to the technical details of hardware bring-up, fleet deployment, debugging, system validation, data center integration, and production operations. This role requires strong execution, excellent cross-functional judgment, and the ability to drive clarity in ambiguous, fast-moving environments. In this role, you will: Lead a team responsible for deployment and operations of OpenAI’s custom silicon and systems in data center environments Own the path from hardware bring-up and validation through production deployment, operati

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives. About the Role You will work at the cutting edge of OpenAI's robotics hardware, partnering with hardware and software teams to develop, build, test, and iterate on robotic systems. Working closely with engineers, you will build prototypes, execute experiments, fabricate fixtures, troubleshoot hardware, and help drive rapid iteration on new robotic technologies. Your practical problem-solving and technical judgment will help move projects from concept to reality. We are looking for versatile, hands-on generalists who enjoy solving problems across mechanical, electrical, fabrication, and experimental domains. The ideal candidate will have strong experience in high-velocity and early-stage hardware development environments, provide thoughtful feedback to engineering teams, and help improve both hardware and development processes. This role will help accelerate robotics development by enabling fast, high-quality iteration on new hardware concepts and systems. This role is based in San Francisco, CA, and is in-person 5 days a week. In this role, you will: Partner closely with engineers, researchers, and other members of the robotics team to support prototype development, experimentation, and hardware iteration. Build, modify, troubleshoot, and repair robotic systems and electromechanical assemblies spanning structural, electrical, sensing, and actuation subsystems. Design and fabricate fixtures, adapters, test equipment, and other prototype hardware that accelerate development efforts. Execute low-volume builds, engineering changes, and rework activities acro

About the job Build the hardware that turns new AI processors into working systems. As a Hardware Development Engineer, you will design circuit solutions for Graphcore processor systems and validation platforms. You will turn system requirements into schematics, layout constraints, and testable hardware. Your work will shape production systems and test boards used across development, validation, and customer enablement. You will help prove performance, margin, and reliability before designs move into volume production. Alongside silicon, architecture, software and PCB CAD specialists, you will make design decisions grounded in evidence. You will define validation plans, run lab campaigns, debug prototypes, and interpret results with firmware and architecture teams. This role suits someone who likes owning problems from first schematic to mass production readiness. Few roles connect board design, bring-up, validation, and production so directly. The team and culture Hardware Engineering builds production systems and test hardware around Graphcore processors. The team works close to silicon, architecture, firmware, software, and PCB CAD from the first requirement onwards. Engineers own designs through definition, schematic capture, layout support, bring-up, validation, and production transfer. Work moves quickly because problems are handled close to the lab, not passed between silos. The team makes decisions through evidence: measurements, design reviews, margin data, and open technical challenge. You will speak up, take responsibility, and help the team move with confidence. What we're looking for · Strong digital circuit design and validation skills, including DCDC regulators, power delivery, resets, clocks, and control interfaces. · Experience developing processor-based systems and working with interfaces such as Ethernet, PCIe, DDR, USB, QSPI and JTAG. · Practical lab depth in bring-up, debug, margin testing, and validation using oscilloscopes, logic analysers and

About the job Validate the memory and system interfaces that keep advanced AI compute reliable under real product conditions. As a Validation and Debug Engineer, you will help prove Graphcore silicon and platforms work across the conditions our customers need. You will build deep understanding of our devices, boards and system behaviour. You will create and execute validation and debug plans for new hardware platforms. Your focus will include LPDDR5-9600, slow-speed interfaces, PCB issues, power behaviour and signal integrity. This is hands-on lab work with real ownership. You will investigate failures, tune memory subsystems and turn complex findings into clear actions across hardware and firmware. The team and culture You will work with Architecture, Silicon Engineering, Hardware Engineering, Firmware, PCB design, power and signal integrity teams. Progress comes through lab evidence, practical judgement and clear debug reports. The team moves quickly because the problems are real and often complex. You will own bring-up activity, drive root cause analysis and keep issues moving across teams. Decisions are made close to the data. You will be expected to speak up, challenge assumptions and help teams choose the right corrective action. What we’re looking for · Strong hands-on hardware debug experience, including board bring-up and subsystem debug · Experience validating and tuning LPDDR memory subsystems, ideally including LPDDR5 · Ability to debug PCB, power, signal integrity and interface issues through to root cause · Knowledge of DDR training, timing optimisation, margin analysis, eye diagrams and stability validation · Confident use of lab instrumentation, including high-bandwidth oscilloscopes, BERT systems and VNA/TDR equipment · Ability to work independently, take responsibility and drive issue resolution across hardware and firmware teams While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of

About the job Debug the high-speed interfaces that decide whether advanced AI systems perform in the real world. As a Validation and Debug Engineer, you will help prove Graphcore silicon and platforms work across real product conditions. You will build deep knowledge of our devices, boards and system behaviour. You will own hands-on validation and debug in the lab, focused on SerDes, PCIe Root Complex and Ethernet. Your work will help resolve complex issues across silicon, hardware, firmware and architecture teams. This role is for someone who enjoys getting close to the hardware. You will tune links, investigate failures and turn difficult lab findings into clear engineering decisions. The team and culture You will work closely with Architecture, Silicon Engineering, Hardware Engineering and Firmware. Progress comes through practical evidence, clear communication and fast problem solving. The team expects ownership without daily oversight. You will drive bring-up, debug issues and help teams reach decisions based on data. You will be trusted to speak up when something is unclear or risky. The best ideas can come from anyone close to the problem. What we’re looking for · Strong hands-on hardware validation experience, including board bring-up and subsystem debug · Experience validating and debugging Ethernet, PCIe Root Complex and SerDes systems · Confident use of lab instrumentation, including oscilloscopes, BERT systems, VNA/TDR equipment and PCIe protocol analysers · Ability to debug signal integrity, protocol-level and interface issues through to root cause · Experience with PCIe bring-up, LTSSM analysis, link training, equalization tuning and interoperability testing · Ability to work independently, take responsibility and drive issue resolution across teams While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how you

What You'll Do Midjourney is seeking physicists to develop revolutionary quantum hardware technologies. What We're Looking For Multiple years of experience working in experimental quantum physics (Ph.D.-level or similar) Proficiency in the design, implementation, and troubleshooting of experiments Hands-on experience with laser-based optical measurements Ability to work on-site (up to five days/week) in the San Francisco Bay Area Given the nature of the work, U.S. citizenship is required. Useful Experience: Broad familiarity with quantum computing and/or sensing platforms Track record of delivering cutting-edge systems that work outside the lab Strong physical intuition about fundamental signal origins and noise sources Hands-on experience with optics, optoelectronics, photodetectors, and optical fibers Familiarity with next-generation photonic technologies Experience inventing new tools and processes to address experimental challenges Proficiency using the latest AI tools to accelerate workflow Excellent data visualization and presentation skills

About the job Build the hardware that turns new AI processors into working systems. As a Hardware Development Engineer, you will design circuit solutions for Graphcore processor systems and validation platforms. You will turn system requirements into schematics, layout constraints, and testable hardware. Your work will shape production systems and test boards used across development, validation, and customer enablement. You will help prove performance, margin, and reliability before designs move into volume production. Alongside silicon, architecture, software and PCB CAD specialists, you will make design decisions grounded in evidence. You will define validation plans, run lab campaigns, debug prototypes, and interpret results with firmware and architecture teams. This role suits someone who likes owning problems from first schematic to mass production readiness. Few roles connect board design, bring-up, validation, and production so directly. The team and culture Hardware Engineering builds production systems and test hardware around Graphcore processors. The team works close to silicon, architecture, firmware, software, and PCB CAD from the first requirement onwards. Engineers own designs through definition, schematic capture, layout support, bring-up, validation, and production transfer. Work moves quickly because problems are handled close to the lab, not passed between silos. The team makes decisions through evidence: measurements, design reviews, margin data, and open technical challenge. You will speak up, take responsibility, and help the team move with confidence. What we're looking for · Strong digital circuit design and validation skills, including DCDC regulators, power delivery, resets, clocks, and control interfaces. · Experience developing processor-based systems and working with interfaces such as Ethernet, PCIe, DDR, USB, QSPI and JTAG. · Practical lab depth in bring-up, debug, margin testing, and validation using oscilloscopes, logic analysers and

Zoox is building a purpose-built, fully autonomous robotaxi, and every electronic control unit (ECU) on it has to be proven before it reaches a vehicle. The Autonomy Hardware Validation team in Robot Platform Verification & Validation runs the design validation (DV) and production validation (PV) testing that shows our ECUs meet their requirements across temperature, power, vibration, EMC and lifetime stress. As a Hardware Engineer on our Test Development team, you will be the hands-on engineer who gets testing done in our Foster City labs. You will build test setups and automation, run tests, and help find the root cause of failures. You will move between projects as needs shift, including next-generation vehicle platforms, production validation for our current robotaxi, and cold-weather qualification. You will use AI tools and automation to build and run tests faster. In this role, you will: Build, debug and maintain test setups for vehicle ECUs, including fixtures, test carts, harnesses, fault injection racks, power supplies, electronic loads, data acquisition and thermal chambers. Run electrical, environmental and reliability tests in our Foster City labs and at local test labs, and document the results clearly. Write test automation and tools in Python, and use AI tools to review specifications and test procedures, synthesize results and speed up test development. Support root cause analysis of test failures with validation, design, firmware and supplier quality engineers, and track issues to closure in Jira. Add capacity where it’s needed most, working with validation leads to turn their validation plans into working test setups and procedures. Qualifications: 2+ years of experience in hardware test, hardware validation or electrical engineering, and a BS in Electrical Engineering, Computer Engineering or a related field. Hands-on experience with lab equipment such as oscilloscop

At Lyft, our purpose is to serve and connect. Lyft Urban Solutions designs, builds, and operates bikeshare systems in more than 50 cities worldwide, including New York, Chicago, London, Barcelona, Mexico City, Rio de Janeiro, and Montréal. Our Longueuil facility is the birthplace of BIXI, North America's first automated bikeshare system, and today builds the bikes and stations behind some of the world's largest bikeshare networks. We are looking for a Hardware Field Quality Engineer Intern to join our Field Quality team at our Longueuil facility. Once our bikes, e-bikes, batteries, and stations leave the factory, Field Quality owns how they hold up in the real world: millions of rides, all four seasons, in cities across the globe. You will work alongside field quality engineers to help spot emerging hardware issues, investigate their root cause, and support fixes with engineering, manufacturing, and market operations teams. You will spend time hands-on with failed parts in the lab, and just as much time in the data working out how big a problem really is. Responsibilities: Support failure analysis on parts returned from the field, including requests from enterprise customers, by helping with teardown, inspection, and electrical testing and documenting findings with photos. Help monitor field data, such as vehicle and station alerts and repair records, and flag emerging issues to the team. Build and update dashboards and queries that track reliability metrics and retrofit progress. Assist with field retrofit campaigns by helping identify affected units and tracking progress. Help review repair SOPs and troubleshooting guides used by market mechanics, and suggest improvements. Contribute to field failure investigations in Jira, working with engineers on root cause and corrective actions. Experience: Currently enrolled in a Bachelor's or Master's program in Mechanical, Electrical, Mechatronics, or Industrial Engineering, or a related field, at a Canadian university, gr

About the job Build the test systems that prove advanced AI hardware is ready before it reaches production. As a Test Development Engineer, you will create and maintain test systems for Graphcore’s electronic hardware platforms. Your work will support preproduction test solutions across system and board-level products. You will define test methods, specify equipment and automate systems for complex hardware. This includes high-speed serial links, high-current power supplies, slower protocols and low-level PCBA debug. This role sits close to real engineering problems. You will build deep product knowledge, improve test coverage and help transfer robust solutions into production. The team and culture You will join the Hardware Test team, embedded within Graphcore’s wider Hardware Engineering group. The team works closely with SI, mechanical, layout, package, silicon, firmware and production teams. Work moves through practical test design, lab debug, automation and clear data. You will be trusted to take ownership and develop solutions that meet real hardware needs. The team values proactive communication across Graphcore and third-party support teams. Decisions are shaped by evidence, standards knowledge and the quality of the test data. What we’re looking for · Experience developing and automating test systems for complex electronic systems · Knowledge of Ethernet and/or PCIe testing, including high-speed hardware debug · Fluency in test scripting languages, including Python and LabView · Ability to plan test work, improve coverage and communicate progress clearly · Hands-on experience with lab equipment such as oscilloscopes, BERTs and VNAs · Strong ownership, teamwork and communication skills across technical teams While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Benef

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity As a Systems Engineering Intern, you will contribute to projects that combine hardware, firmware, and software engineering for advanced AI compute platforms. You will work with experienced engineers on subsystem design, laboratory testing, system validation, automation, and performance analysis. The internship provides hands-on experience with modern hardware development and system-level engineering. You will own clearly defined technical tasks with guidance from the team and document your methods, results, and conclusions. What You Will Do Support the design and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Run laboratory tests and measurements to help evaluate performance, power, signal behavior, and reliability. Contribute to system-level validation by creating scripts and tools that streamline testing, data collection, and analysis. Explore emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and learn how they support advanced computing workloads. Assist with investigations into platform power, cooling, and energy efficiency, including liquid-cooling systems for high-performance processors. Use power meters, oscilloscopes, logic analyzers, or comparable lab equipment under appropriate supervision. Analyze test results, identify unexpected behavior, and work with engineers to reproduce and investigate issues. Collaborate across hardware, firmware, software, m