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Graphcore

Delivers IPU-powered AI cloud services

Hardware Development Engineer

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

About the Job

Requirements

  • Strong digital circuit design and validation skills, including DCDC regulators, power delivery, resets, clocks, and control interfaces.
  • Experience developing processor-based systems and working with interfaces such as Ethernet, PCIe, DDR, USB, QSPI and JTAG.
  • Practical lab depth in bring-up, debug, margin testing, and validation using oscilloscopes, logic analysers and signal generators.
  • Ability to script tests and analyse results using Linux, Python, Bash and Excel.
  • Understanding of server architecture, such as baseboard management controller (BMC), network interface card (NIC) and solid-state drive (SSD), with SERDES experience adding further value.
  • Ownership mindset, clear communication, and the confidence to challenge, decide, and work across disciplines.
  • Applicants must have the legal right to work in the United Kingdom; visa sponsorship is not available for this role.

Responsibilities

  • Design circuit solutions for Graphcore processor systems and validation platforms, turning system requirements into schematics, layout constraints, and testable hardware.
  • Shape production systems and test boards used across development, validation, and customer enablement; help prove performance, margin, and reliability before designs move into volume production.
  • Define validation plans, run lab campaigns, debug prototypes, and interpret results with firmware and architecture teams.
  • Own designs through definition, schematic capture, layout support, bring-up, validation, and production transfer; work closely with silicon, architecture, software, and PCB CAD specialists.

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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