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Graphcore

Delivers IPU-powered AI cloud services

Test Development Engineer - Electronic Hardware

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

About the Job

Requirements

  • Experience developing and automating test systems for complex electronic systems
  • Knowledge of Ethernet and/or PCIe testing, including high-speed hardware debug
  • Fluency in test scripting languages, including Python and LabView
  • Ability to plan test work, improve coverage and communicate progress clearly
  • Hands-on experience with lab equipment such as oscilloscopes, BERTs and VNAs
  • Strong ownership, teamwork and communication skills across technical teams

Responsibilities

  • Build the test systems that prove advanced AI hardware is ready before it reaches production.
  • Create and maintain test systems for Graphcore’s electronic hardware platforms.
  • Support preproduction test solutions across system and board-level products.
  • Define test methods, specify equipment and automate systems for complex hardware.
  • Includes high-speed serial links, high-current power supplies, slower protocols and low-level PCBA debug.
  • This role sits close to real engineering problems and you will build deep product knowledge, improve test coverage and help transfer robust solutions into production.
  • Work with the Hardware Test team to design practical test solutions and tests, automate data collection and provide clear test data.
  • The team values proactive communication across Graphcore and third-party support teams, with decisions shaped by evidence and standards knowledge and the quality of the test data.

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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