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Graphcore

Delivers IPU-powered AI cloud services

Lead Bring-up & Characterisation Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeBristol, UKIn-person

About the Job

Requirements

  • Proven track record of delivering technical outcomes as an individual contributor, manager, or project manager, with strong communication and stakeholder management skills.
  • Solid experience in silicon digital device design, bring-up, and characterisation, with a good understanding of silicon process technology and its impact on transistor- and system-level performance.
  • Strong knowledge of high-performance processors, system-on-chip (SoC) architectures, and high-speed digital interfaces such as PCIe, Ethernet, and DDR.
  • Experience with measurement automation, data analysis, and developing code or scripts to support automated testing and analysis workflows.
  • Bachelor's degree (or equivalent practical experience), with a background understanding of automated test equipment (ATE) systems and their role in silicon characterisation.

Responsibilities

  • Lead the bring-up and characterisation of Graphcore's silicon devices and system platforms.
  • Build and lead a team that develops characterisation plans, automates testing, and analyses results across silicon and system platforms.
  • Work closely with architecture, silicon, hardware, operations and product teams to solve complex technical challenges.
  • This is a hands-on technical leadership role with the opportunity to influence product design, shape new capabilities, and build a team from the ground up.

Desired Qualifications

  • Knowledge of printed circuit board assembly (PCBA) and system-level technologies.
  • Project management experience.

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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