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Graphcore

Delivers IPU-powered AI cloud services

Hardware Validation & Debug Engineer - DDR

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeBristol, UKNo salary listedIn-person

About the Job

Requirements

  • 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.
  • Applicants must have the legal right to work in the UK.

Responsibilities

  • Create and execute validation and debug plans for new hardware platforms.
  • Investigate failures, tune memory subsystems, and turn complex findings into clear actions across hardware and firmware.
  • Own bring-up activity, drive root cause analysis, and keep issues moving across teams.
  • Use lab evidence and practical judgement to produce clear debug reports and help teams choose corrective actions.

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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