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Salary
$54k – $150k per year (Estimated)
Location
In office (Bristol)
Overview
Company
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Graphcore is a British semiconductor company founded in Bristol in 2016 that designs the Intelligence Processing Unit, a processor architected specifically for machine learning rather than adapted from graphics. Its chips place large amounts of memory directly on the die and expose fine-grained parallelism, an approach aimed at sparse and irregular models that map poorly onto conventional accelerators. The company sells IPU systems and the Poplar software stack to research and enterprise customers, and has operated as a wholly owned subsidiary of SoftBank Group since its acquisition in 2024.

About the job

Build the systems that prove the next generation of AI hardware works at scale.

You will validate and debug Graphcore’s silicon platforms before they power advanced AI workloads worldwide. Your work will directly influence product quality, performance, and reliability across our hardware stack.

You will lead hands-on system validation in the lab, working closely with architecture, silicon, hardware, and firmware teams. You will debug complex PCIe, Ethernet, and SerDes issues, drive root-cause analysis, and bring new platforms to life.

This role offers deep technical ownership and exposure to some of the industry’s most demanding hardware challenges. You will help shape the future of AI computing from the lab bench upward.

The team and culture

You will join a team that moves quickly, solves hard problems, and values technical depth. Engineers are trusted to investigate issues, challenge assumptions, and drive decisions forward.

Work is highly hands-on and collaborative across hardware, firmware, and silicon teams. Problems are tackled directly in the lab using real systems and real data.

We value people who take ownership and enjoy figuring things out. The best ideas win, regardless of job title or background.

What we’re looking for

  • Strong experience validating and debugging complex hardware systems
  • Hands-on expertise with PCIe Root Complex bring-up, debug, and protocol analysis
  • Experience debugging Ethernet SerDes systems and high-speed interfaces
  • Confident using oscilloscopes, BERT systems, VNA/TDR equipment, and protocol analysers
  • Strong root-cause analysis skills across signal integrity and subsystem issues
  • Ability to work independently and drive technical issues across multiple teams

Benefits

· Unlimited annual leave

· Up to 5% matched pension

· Phantom equity - share in Graphcore’s success

· True flexibility in how and where you work

· Office spaces designed for collaboration

· Free food and an on-site barista

· Health cash plan

· Income protection

· Life assurance

· Along with other benefits you can choose from (private medical insurance, dental plan etc)

Inclusion statement

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.

Join the Team at Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

If you want to solve complex hardware challenges at the centre of AI innovation, we’d love to hear from you. Apply now and help bring the future of AI computing closer.

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