Data Center Hardware Technician

Join Wayve as a Hardware Engineer and be at the forefront of driving innovative technology solutions. In this role, you will engage in the design, development, and testing of cutting-edge hardware systems. We are looking for passionate engineers who thrive in a collaborative environment and are eager to push the boundaries of hardware engineering.

CoreWeave builds cloud infrastructure for AI workloads, serving a range of clients from startups to global enterprises. Since 2017, the company has focused on delivering strong technical performance and support for innovators in the AI space. CoreWeave became publicly traded (Nasdaq: CRWV) in March 2025. More information is available at www.coreweave.com. Role Overview The Hardware Engineer - GPU & PCIe will join the Hardware Engineering team and report to the Hardware Engineering Manager. This role centers on designing, developing, troubleshooting, and optimizing server hardware, with a focus on GPU and PCIe systems. Collaboration with cross-functional teams, vendors, and stakeholders is essential to deliver reliable, high-performance hardware solutions. Key Responsibilities Troubleshoot complex GPU and PCIe failures. Work with external vendors on failure analysis. Track and monitor component RMAs. Develop and maintain hardware and firmware management services. Automate processes throughout the server hardware lifecycle. Serve as the senior escalation point for hardware troubleshooting. Partner with cross-functional teams to define hardware requirements, specifications, system architecture, and issue resolution playbooks. Create and update documentation for hardware designs, specifications, test procedures, and results. Analyze hardware system performance, identify bottlenecks, and recommend improvements. Establish processes for internal hardware testing, deployment, optimization, and troubleshooting. Locations This position is available in New York, NY, Sunnyvale, CA, or Bellevue, WA.

Intuitive Surgical, Inc. seeks a Senior Hardware Test Engineer to join the team in Sunnyvale, California. This position centers on testing and validating advanced medical devices, with a strong emphasis on quality and reliability. Key responsibilities Lead hardware testing activities for medical device products Validate product designs to ensure they meet established quality and reliability standards Assist the team in identifying and resolving issues during the testing process Role impact Work in this role directly supports the safety and effectiveness of Intuitive Surgical’s products, contributing to improved outcomes for patients.

Join Intuitive Surgical, a pioneering company in robotic-assisted surgery, as the Vision Hardware Engineering Manager. In this dynamic role, you will lead a talented team of engineers in the development and optimization of cutting-edge vision hardware systems for our advanced surgical platforms. Your expertise will drive innovation, ensuring our products maintain the highest standards of safety and effectiveness. Collaborate with cross-functional teams to integrate state-of-the-art technologies and contribute to the advancement of minimally invasive surgical procedures.

We are looking for a passionate and innovative Mechanical Design Engineer specializing in Vision Hardware to join our dynamic team at intuitive. In this role, you will leverage your expertise to design and develop cutting-edge hardware solutions that enhance our product offerings, supporting our mission to improve the lives of our customers.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technologies. Established in 2017 and currently valued at $15 billion, this innovative Silicon Valley company is dedicated to creating the essential digital infrastructure needed to infuse intelligence into every moving machine globally. We cater to various industries, including automotive, defense, trucking, construction, mining, and agriculture, across three primary domains: tools and infrastructure, operating systems, and autonomy. Trusted by 18 of the top 20 global automakers, along with the United States military and its allies, our solutions are designed to deliver unmatched physical intelligence. Our headquarters is located in Sunnyvale, California, with additional offices across major cities including Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We are primarily an in-office company, expecting our employees to work from our Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work, starting the day with morning meetings from home before heading to the office, or adjusting hours to accommodate family commitments.About the RoleWe are seeking a passionate Hardware Integration Engineer to collaborate closely with our hardware team in the development, testing, maintenance, and optimization of our fleet's utilization. By engaging with all facets of our self-driving systems, you will serve as the primary technical reference for the system. This role will involve direct interaction with hardware engineers, engineering technicians, operators, and safety drivers.Key Responsibilities:Become the subject matter expert for Applied’s autonomous vehicles by thoroughly understanding all system components.Provide vehicle integration support throughout the organization by designing, prototyping, and installing proof-of-concept systems and sensors under evaluation.Lead and oversee the vehicle from the build-out phase to final delivery to our operations team, including final bring-up and shake-down processes.

At SpaceX, we believe that a future where humanity explores the cosmos is more thrilling than one where we remain Earth-bound. We are dedicated to pioneering innovative technologies that will make interplanetary life a reality, ultimately aiming to establish human presence on Mars.SENIOR HARDWARE DESIGN ENGINEER - ELECTRICAL, SATELLITE PAYLOAD (STARLINK)The Starlink team is at the forefront of developing, building, and operating the most advanced communication network in the world. Our network comprises over ten thousand satellites in low Earth orbit, providing high-speed internet access globally.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Since its inception in 2017, the company has grown to a valuation of $15 billion, establishing itself in Silicon Valley as a leader in creating the digital framework essential for embedding intelligence into every moving machine worldwide. Our solutions cater to a diverse range of industries, including automotive, defense, trucking, construction, mining, and agriculture, focusing on three key areas: tools and infrastructure, operating systems, and autonomy. Our expertise is trusted by 18 of the top 20 global automakers and the United States military and its allies. Headquartered in Sunnyvale, California, we also have offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.At Applied Intuition, we foster a flexible work environment while primarily expecting our employees to work from the office five days a week. We value work-life balance and allow for occasional remote work, enabling our team members to manage their schedules responsibly, including starting the day with remote meetings or leaving early for family commitments.About the role and teamWe are in search of a dedicated Research Engineer to become a vital member of our Research Group at Applied Intuition. Our mission is to pioneer next-generation physical AI technologies, with a strong focus on two transformative applications: end-to-end autonomous driving and robotic generalization. Our team comprises leading experts from prestigious institutions and companies, recognized for their profound contributions in both academia and industry, including eight Best Paper awards at top-tier conferences and journals such as CVPR and ICRA. Learn more about our research initiatives at appliedintuition.com/research.With access to industry-leading tools and infrastructure, our researchers can leverage millions of miles of data from extensive fleets, applying developed methodologies to various autonomous and robotic systems, including self-driving vehicles.

Join Cerebras Systems as a Senior Hardware Technical Program Manager to lead and drive cutting-edge hardware projects. In this pivotal role, you will collaborate with cross-functional teams to ensure the successful delivery of innovative solutions, leveraging your extensive knowledge and experience in hardware development.Your leadership will be essential in coordinating project timelines, overseeing product specifications, and optimizing resource allocation. If you are passionate about technology and seeking to make a significant impact in the hardware domain, we invite you to apply.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Established in 2017 and currently valued at $15 billion, this Silicon Valley-based company is on a mission to develop the digital infrastructure necessary to infuse intelligence into every moving machine across the globe. Serving industries such as automotive, defense, trucking, construction, mining, and agriculture, Applied Intuition specializes in three primary domains: tools and infrastructure, operating systems, and autonomy. The company is trusted by 18 of the top 20 global automakers, along with the U.S. military and its allies, to deliver innovative solutions that enhance physical intelligence. With a headquarters in Sunnyvale, California, and locations in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo, we invite you to learn more at applied.co.We maintain an in-office culture, with expectations for employees to work primarily from our offices five days a week. However, we also value flexibility and trust our employees to responsibly manage their schedules. This may include occasional remote work, starting the day with morning meetings from home, or leaving early to meet family commitments.About the Role:We are excited to welcome multiple enthusiastic Research Interns to our Research Group at Applied Intuition. Our mission is to innovate cutting-edge technologies that enable the next wave of physical AI, focusing on two pivotal applications that are transforming our daily lives: end-to-end autonomous driving and robotic generalist systems. Our team comprises leading experts from prestigious institutions and organizations, recognized for their outstanding academic and industry achievements—including eight Best Paper awards at prominent conferences and journals like CVPR and ICRA. To learn more about our research efforts, visit appliedintuition.com/research.With access to industry-leading tools and infrastructure, our researchers can leverage millions of miles of data from extensive fleets and implement their methodologies across a variety of autonomous and robotic systems, which include self-driving vehicles, autonomous construction and mining machinery, humanoid robots, and dexterous robotic hands.

About the TeamOriginating from X, Google's innovative Moonshot Factory, Taara is dedicated to transforming internet access for billions of people worldwide. We are pioneering the utilization of light for faster, more affordable, and reliable connectivity. Join us in revolutionizing wireless optical communication and photonics chip technologies, driving our expansion as we deliver innovative solutions globally. Together, we can illuminate the future and bridge the digital divide.About the RoleWe are in search of a Senior Hardware Program Manager specializing in Manufacturing and Quality at Taara. The ideal candidate will possess extensive experience in leading manufacturing processes, manufacturing engineering, and quality assurance for high-volume production of Wireless Optical Communication (WOC) systems, essential for providing widespread and affordable internet.This strategic leadership role involves overseeing product build planning, production, and shipping, while ensuring adherence to quality and performance specifications. You will develop, implement, and enforce robust quality control (QC) and quality assurance (QA) protocols throughout the production lifecycle.We're looking for highly motivated individuals who thrive in a dynamic team environment, collaborating with engineers, technicians, suppliers, and partners. If you are passionate about tackling diverse challenges in manufacturing, scaling, and continuous improvement projects that can lead to significant technological advancements, we want you on our team.Your ImpactProduction Oversight: Supervise daily manufacturing operations, including production, scheduling, and resource allocation across diverse shifts or value streams. Ensure production capacity, layout, and equipment readiness to meet manufacturing objectives. Proactively assess and mitigate risks, crafting contingency plans to minimize production schedule disruptions.Strategy & Planning: Formulate and implement long-term manufacturing strategies, including budget oversight, capacity planning, and capital expenditure proposals. Monitor and enhance Key Performance Indicators (KPIs) such as Overall Equipment Effectiveness (OEE), yield rates, and unit costs.Quality Management: Establish and maintain a comprehensive Quality Management System (QMS), ensuring ISO compliance and industry-specific certifications as necessary. Design, review, and enforce testing protocols to assess raw materials, in-process production, and final products, ensuring adherence to quality standards.

Cerebras Systems is pioneering the field of artificial intelligence with the development of the world's largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture delivers the computational power equivalent to dozens of GPUs on a single chip, simplifying programming to a single device. This breakthrough allows Cerebras to achieve unparalleled training and inference speeds, enabling machine learning practitioners to seamlessly run extensive ML applications without the complexity of managing numerous GPUs or TPUs. Our clientele includes leading model labs, global corporations, and cutting-edge AI-native startups. Cerebras recently formed a transformative multi-year partnership with OpenAI, focusing on deploying 750 megawatts of scale to enhance critical workloads through ultra-fast inference. Thanks to our unique wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution globally, outperforming GPU-based hyperscale cloud services by over ten times. This dramatic increase in speed is revolutionizing the user experience of AI applications, facilitating real-time iterations and enhancing intelligence through additional agentic computation. As an Infrastructure Hardware Technical Program Manager (Server and Network Systems) within the Cluster Architecture Team, you will oversee the comprehensive delivery of server and network platform programs across Cerebras CS-3-based AI clusters. Your responsibilities will range from requirements gathering and vendor selection to lab bring-up, qualification, and production rollout. You will act as the execution lead for multi-team programs involving OEM/ODM partners, component vendors, internal software/runtime teams, architects, validation/QA, and deployment/operations.This position requires a strong technical background; you should grasp server, network, and system-level trade-offs to effectively conduct technical reviews, keep programs aligned with real-world constraints, and maintain clear decision documentation. Collaborating closely with Compute, Server, and Network Platform Architects, you will ensure detailed technical direction and approval. Additionally, you will work to establish mutual understanding with our rack/elevations and physical data center design partners to ensure server and network modifications are implemented smoothly in real deployments (without directly managing physical data center design).

At Cerebras Systems, we are pioneering the future of artificial intelligence with the development of the world's largest AI chip, which is an astonishing 56 times larger than traditional GPUs. Our innovative wafer-scale architecture combines the computational power of numerous GPUs into a single chip, simplifying programming and enhancing efficiency. This unique approach enables us to achieve unparalleled training and inference speeds, empowering machine learning practitioners to run extensive ML applications seamlessly, without the complexities of juggling multiple GPUs or TPUs.Our clientele includes leading model labs, global corporations, and groundbreaking AI-focused startups. Notably, OpenAI has recently partnered with Cerebras to harness 750 megawatts of scale, revolutionizing critical workloads with ultra-fast inference capabilities.Thanks to our cutting-edge wafer-scale technology, Cerebras Inference delivers the fastest Generative AI inference solutions available, exceeding GPU-based hyperscale cloud services by over ten times. This significant leap in speed is revolutionizing user interactions with AI applications, facilitating real-time adjustments and enhancing intelligence through advanced computational capabilities.About The RoleAs the security lead for Cerebras's AI cluster product, you will be at the forefront of ensuring the security of our large-scale AI clusters, which consist of hundreds of wafer-scale accelerator systems, thousands of high-performance servers, and numerous networking ports, including switches. This will also involve managing network-attached storage within a vast data center.Your primary responsibility will be to implement security measures based on established best practices and first principles, ensuring the protection of Cerebras's extensive AI clusters. These clusters comprise intricate hardware components, networking systems, and a fully integrated cluster management software stack that ranges from bare-metal deployments to sophisticated management systems that enable multi-tenant training and inference services across these expansive clusters.You will focus on guaranteeing end-to-end security and privacy for various cluster applications, developing security engineering solutions incorporating robust network access controls, user access management, and an exceptional multi-tenancy framework.

Cerebras Systems is at the forefront of AI innovation, creating the world's largest AI chip, which is 56 times larger than traditional GPUs. Our pioneering wafer-scale architecture delivers exceptional AI computational power equivalent to dozens of GPUs on a single chip, offering users unparalleled simplicity and efficiency. This unique approach enables us to provide industry-leading training and inference speeds, allowing machine learning practitioners to run extensive ML applications seamlessly without the complexities of managing multiple GPUs or TPUs.Our clientele includes renowned model labs, leading global enterprises, and innovative AI-first startups. Recently, OpenAI announced a multi-year collaboration with Cerebras, leveraging 750 megawatts of scale to revolutionize critical workloads with ultra-high-speed inference.Thanks to our cutting-edge wafer-scale technology, Cerebras Inference offers the fastest Generative AI inference solution globally, achieving speeds over 10 times faster than typical GPU-based hyperscale cloud services. This significant speed enhancement is reshaping the user experience in AI applications, enabling real-time iteration and enhancing intelligence through advanced computation.About The RoleAs a Senior Mechanical Engineer at Cerebras, you will spearhead the design of innovative mechanical systems for our next-generation wafer-scale engine. Your key responsibilities will encompass ensuring adherence to specifications, validating manufacturability, and delivering high-quality products in a dynamic environment, addressing some of the most intricate challenges in the rapidly advancing AI landscape.In this role, you will be instrumental in developing the mechanical infrastructure for Cerebras' custom hardware systems.Rapidly iterate on designs and analyses to inform high-level systems decisions and guide the overall product strategy.Provide extensive support for environmental and performance testing on hardware, validate analyses, and ensure compliance with design criteria.Take ownership of technical deliverables.Conduct first-article inspections and functional analyses, identifying and resolving issues as they arise.Collaborate closely with design, manufacturing, production, diagnostics, and embedded software engineering teams, contractors, and suppliers.Perform detailed structural analyses and simulations to optimize designs.

Join SpaceX as a Senior RFIC Design Engineer in our Silicon Engineering team. In this pivotal role, you will be responsible for designing innovative RF integrated circuits that drive our next-generation space technologies. Collaborate with a team of experts to push the boundaries of technology while ensuring the highest standards of quality and performance.

Cerebras Systems is revolutionizing artificial intelligence with the world's largest AI chip, 56 times larger than traditional GPUs. Our innovative wafer-scale architecture delivers unparalleled AI compute power, equating to dozens of GPUs on a single chip, all while maintaining the programming simplicity of a single device. This unique solution enables Cerebras to achieve unmatched training and inference speeds, allowing machine learning practitioners to seamlessly execute large-scale ML applications without the complexities of managing multiple GPUs or TPUs.We proudly serve a diverse clientele that includes leading model labs, multinational corporations, and pioneering AI-native startups. Notably, OpenAI has recently entered into a multi-year partnership with Cerebras, harnessing 750 megawatts of scale to transform critical workloads with ultra-high-speed inference.Our cutting-edge wafer-scale architecture powers the fastest Generative AI inference solution globally, boasting speeds over ten times faster than GPU-based hyperscale cloud inference services. This remarkable acceleration is reshaping the user experience of AI applications, facilitating real-time iterations and enhancing intelligence through advanced agentic computation.About The RoleAs a Kernel Engineer, you will be pivotal in crafting high-performance software solutions at the convergence of hardware and software. Your primary responsibility will be to implement, optimize, and scale deep learning operations that fully utilize our custom, massively parallel processor architecture.You will collaborate with a world-class team focused on designing, tuning for performance, and validating foundational ML and HPC kernels. This role includes building a comprehensive library of parallel and distributed algorithms aimed at maximizing compute utilization and enhancing training efficiency for state-of-the-art AI models. Your contributions will be crucial in unlocking the full capabilities of our hardware and accelerating the advancements in AI.

Founded on the vision of making humanity a multi-planetary species, SpaceX is pioneering the technologies to enable human life on Mars. Our mission extends beyond the stars; we are also transforming global connectivity through Starlink, the most advanced broadband internet system in the world.SENIOR RTL DESIGN ENGINEER (SILICON ENGINEERING)At SpaceX, we leverage our extensive experience in rocket and spacecraft development to successfully deploy Starlink, the world's largest satellite constellation. This initiative is providing high-speed, reliable internet to millions across the globe. We design, build, test, and operate all components of the system, from thousands of satellites to consumer receivers that enable users to connect with ease, and the software that integrates it all. As we continue to expand Starlink's global reach, we seek exceptional engineers to enhance its utility for communities and businesses worldwide.We are in search of a proactive and intellectually curious Senior RTL Design Engineer to collaborate with our elite, cross-disciplinary teams, including systems, firmware, architecture, design, validation, product engineering, and ASIC implementation. In this role, you will be at the forefront of developing next-generation FPGAs and ASICs that will be deployed in both space and terrestrial infrastructures. Your contributions will facilitate connectivity in areas that have previously lacked affordable and reliable access, thereby enhancing the capabilities of the Starlink network.

At SpaceX, we believe in a future where humanity explores the stars, and we are dedicated to developing the technologies to make that vision a reality. Our ultimate goal is to enable human life on Mars.RFIC DESIGN ENGINEER (SILICON ENGINEERING)As part of SpaceX, you will leverage our extensive experience in building rockets and spacecraft to support the deployment of Starlink, the world's most advanced broadband internet system. Starlink features the largest satellite constellation globally, providing fast and reliable internet to millions of users. We design, build, test, and operate all system components, including thousands of satellites and user-friendly consumer receivers that allow connectivity within minutes. Join us in maximizing Starlink's global impact for communities and businesses.We are seeking a highly motivated and proactive RF/Analog IC engineer to collaborate with world-class cross-disciplinary teams, including systems, firmware, architecture, design, validation, and product engineering. In this position, you will develop cutting-edge next-generation RFICs for deployment in both space and terrestrial infrastructures. These innovations will enable connectivity in previously unreachable, unaffordable, or unreliable areas. Help us deliver next-generation solutions to enhance the Starlink network's performance and capabilities.

Join Applied Intuition as a Software Engineer specializing in AI Engineering, where you'll have the opportunity to work on cutting-edge technology and contribute to innovative projects that shape the future of artificial intelligence. As part of our dynamic team, you will collaborate with talented professionals to design, develop, and implement AI solutions that address real-world challenges.