Graphcore Logo

Graphcore

Principal Engineer, Power Electronics

Reposted 2 Months Ago
Be an Early Applicant
Hybrid
Milpitas, CA
Senior level
Hybrid
Milpitas, CA
Senior level
Lead architecture and design of power delivery from grid to chip for data center AI systems. Define roadmaps, specify rack- and board-level power hardware and firmware, drive vendor engagement, ensure reliability/efficiency, develop prototypes, validate designs, resolve complex hardware/firmware issues, and ensure industry compliance.
The summary above was generated by AI

Location: Milpitas, CA - Please note this a hybrid role with a minimum of 3 days onsite.


About Us 

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised 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. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. 

 

Job Overview: 

Graphcore is seeking a Principal Engineer, Power Engineering to aid in defining the architecture 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 based in Austin or San Jose.

Responsibilities: 

  • Provide thought leadership, planning, and design for power delivery from data center power drop through delivery to systems & chips 
  • Establish power roadmap. Work with vendors to ensure their planned future technologies are pulled into our system engineering roadmap AND ensure that our (system engineering) required technological innovation is being driven into their (power vendor) roadmap. Work to improve reliability and efficiency of power engineering component over time. 
  • Rack-level power components. Competency with specification of hardware and firmware for rack-level power shelves. Competency with design for resiliency. 
  • Set power policies in the data center for: power buffer/oversubscription, scheduling of jobs based on power, and monitoring (power quality faults) / accommodation faults. Resolve telemetry and data needed to support power policy algorithms. 
  • 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”) 
  • Board and system-level power regulation components. Understand and able to apply current VRM, TLDR, and POL technologies. Help to develop new technologies to increase efficiency. Understand manufacturing capabilities and limitations of new technology. Drive 
  • Provide guidance to the power equipment manufacturers, ODM and engineering teams on the required testing and validation procedures for power hardware and firmware components. 
  • Develop and test hardware prototypes as needed to support the exploration and validation of new concepts in power delivery. 
  • Tackle and resolve sophisticated power hardware and firmware issues as needed. 
  • Ensure compliance with industry standards and regulations. 

Required Skills and Experience : 

  • Bachelor’s or Master’s or PhD degree in Electrical Engineering with a specialized knowledge of Power Engineering. 
  • demonstrated ability in power system and delivery architecture, design, and development. 
  • Experience with rack-level hardware design, including servers, storage, networking, and power distribution. 
  • 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. 
  • Comfortable meeting with and engaging directly with customers (internal and external) during requirements gathering and solution development 

 

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.  

Similar Jobs at Graphcore

29 Days Ago
Hybrid
Expert/Leader
Expert/Leader
Artificial Intelligence • Semiconductor
Leads performance optimization for large-scale AI training and inference workloads across distributed systems. Builds benchmarks, profiles workloads, identifies compute, memory, networking, and software bottlenecks, and develops C++ and Python tools. Coordinates complex performance improvements across hardware and software teams, validates results with reliable data, and guides engineering decisions that improve efficiency, scalability, and reliability at data center scale.
Top Skills: C++Distributed SystemsHigh-Performance InterconnectsLibfabricMachine Learning FrameworksMlperfMpiNcclPythonUcx
One Month Ago
Hybrid
Expert/Leader
Expert/Leader
Artificial Intelligence • Semiconductor
Leads the operating model and new-product-introduction framework for AI data center technologies. Defines deployment, service, diagnostics, telemetry, readiness, and lifecycle workflows across compute, networking, storage, power, cooling, and site operations. Coordinates multidisciplinary teams, conducts operational readiness reviews, establishes quality metrics, resolves complex platform issues, guides automation, and communicates risks and recommendations to engineering and operations leaders.
Top Skills: Ai ComputingAutomated DiagnosticsAutomationCompute InfrastructureData Center InfrastructureDirect Liquid CoolingFirmwareHigh-Performance ComputingLinuxMemoryNetworkingOperating SystemsPower DistributionRack-As-System ArchitecturesScriptingStorageTelemetry Platforms
One Month Ago
Hybrid
Expert/Leader
Expert/Leader
Artificial Intelligence • Semiconductor
Lead end-to-end hardware and firmware security architecture for Arm-based AI server platforms. Define trusted computing, secure boot, attestation, cryptographic key management, lifecycle controls, interface security, and threat mitigations across silicon, firmware, virtualization, and system software. Translate security goals into engineering requirements, guide cross-functional teams, evaluate emerging threats, and protect AI models, data, workloads, and intellectual property from remote, physical, side-channel, and supply-chain attacks.
Top Skills: ArmArm Trusted FirmwareArmv9Confidential Compute ArchitectureContainersCryptographyKvmLinuxNvmeOpenbmcPcie Gen5Pcie Gen6Realm Management ExtensionRemote AttestationSecure BootTrusted Platform ModuleTrustzoneUefi

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account