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Graphcore

Delivers IPU-powered AI cloud services

Power Integrity Engineer

Board & Electronics DesignConfirmed live in the last 24 hours
Full-timeBristol, UKNo salary listedIn-person

About the Job

Requirements

  • Strong understanding of power integrity principles, including power delivery network design and analysis.
  • Proficiency with power integrity simulation tools such as PowerDC, PowerSI, HFSS/SiWave, Simplis, Spice, ADS, or similar.
  • Experience working across chip-, package-, or board-level design.
  • Ability to interpret simulation results and translate them into design improvements.
  • Knowledge of electromagnetic simulation techniques and laboratory measurement using vector network analyzers and oscilloscopes.
  • Ability to communicate clearly and work cross-functionally.

Responsibilities

  • Deliver robust power integrity solutions across silicon and system designs.
  • Develop and analyze power delivery networks across silicon, package, and printed circuit board designs.
  • Use simulation, measurement, and laboratory correlation to identify power behavior and drive design improvements.
  • Influence decoupling strategy, stack-up decisions, bring-up debugging, and best practices for future platforms.
  • Collaborate with chip, package, board, system, and third-party engineering teams to improve power and signal performance.
  • Guide technical decisions, review peer work, and challenge designs when needed.

About the Company

Graphcore

Delivers IPU-powered AI cloud services

Graphcore.ai focuses on building and delivering Intelligence Processing Units (IPUs) and related AI services for enterprises. It provides IPU-powered cloud services, pre-trained AI models, optimized inference engines, and APIs on a subscription basis with on-demand pricing and free tiers through cloud partners. The IPUs accelerate AI workloads and enable scalable, cost-efficient AI deployment in enterprise applications. The company differentiates itself through specialized IPU hardware and optimized software stack, plus partnerships with cloud providers to reach customers, rather than relying on generic hardware. The goal is to help businesses scale AI-powered products and operations efficiently by offering flexible, scalable compute and ready-to-use AI components.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$1.1B
Headquarters
Bristol, United Kingdom
Founded
2016

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