$166K – $240K/yr
Salary not disclosed
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Role overview
Job description
Staff Power Electronics Engineer About Us Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data center hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 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. Job Overview: Graphcore is seeking a Senior Engineer, Power Engineering to aid in design, test, and development of the power delivery components from grid to chip. You will work closely with multiple cross-functional teams, including hardware engineers, firmware developers, and data center operations, to ensure the infrastructure we build meets customer requirements as well as attaining standards of performance, reliability, and scalability. This role will be hybrid-remote, based in Milpitas, CA and will involve a significant in-laboratory component along with some work-from-home. Responsibilities: Contribute to the design and specification of the components and systems in the grid-to-chip power chain. Build out the test environment and perform engineering test and validation of the grid-to-chip chain. Design test hardware including the overall test environment, test fixtures, loads, and other devices to simulate various loading conditions and to evaluate the performance of the power chain. Testing includes basic function testing, robustness and reliability testing, high-power cycle testing, high-bandwidth power testing, energy storage testing, and numerous other types of tests involved in AI power system validation. Design and prototype custom components as may be needed to support the Graphcore power architecture. This includes the low-level design of power conversion hardware and rapid prototyping. Support the transition of system designs from test and validation into the manufacturing and production environments Ensure robustness of IT power in the presence of grid disturbances and make sure that IT power loads are compatible with grid power requirements (“good grid power citizen”) Provide guidance to the power equipment manufacturers, ODM and engineering teams on the required testing and validation procedures for power hardware and firmware components. Tackle and resolve sophisticated power hardware and firmware issues as needed. Required Skills and Experience : Bachelor’s or Master’s or PhD degree in Electrical Engineering, knowledge of Power Electronics desired. Demonstrated ability in power system and delivery architecture, design, and development. Experience testing high voltage and high power systems, Proficiency in power hardware and firmware development and debugging. Excellent problem-solving and analytical skills. Strong communication and teamwork skills. Ability to work in a fast-paced, multifaceted environment. "Nice to Have" Skills and Experience: Familiarity with new technologies in AI and data center infrastructure. Benefits In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
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About this listing
- Source: Graphcore's official careers site · still listed there on 9 Nov 2026
- Posted 19 Aug 2026
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What they are looking for
Skills & requirements
Qualification
Required Skills and Experience : Bachelor’s or Master’s or PhD degree in Electrical Engineering, knowledge of Power Electronics desired
Department · Power Engineering
Hiring company
Graphcore
Graphcore has built a new type of processor for machine intelligence to accelerate machine learning and AI applications for a world of intelligent machines
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