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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 listedRemote

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 experience 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 BMC, NIC, and SSD; SERDES experience is an additional advantage.
  • Ownership mindset, clear communication, and confidence to challenge, decide, and work across disciplines.

Responsibilities

  • Design circuit solutions for processor systems and validation platforms, translating system requirements into schematics, layout constraints, and testable hardware.
  • Develop production systems and test boards used across development, validation, and customer enablement.
  • Prove performance, margin, and reliability before designs move into volume production.
  • Work alongside silicon, architecture, software, firmware, and PCB CAD specialists to make evidence-based design decisions.
  • 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.

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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