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Graphcore

Delivers IPU-powered AI cloud services

Firmware Engineer Intern

Embedded EngineeringConfirmed live in the last 24 hours
Internship · Summer 2027Bristol, UK£14.42 /hr

About the Job

Requirements

  • Currently studying toward a bachelor’s, master’s, or PhD in Computer Science, Electronic Engineering, Maths, or a related field; equivalent experience is also welcome.
  • Introductory programming experience in C or Python, with some understanding of continuous integration, build systems, and software packaging best practices.
  • A practical, methodical approach to problem solving, with the ability to organise work and follow tasks through to completion.
  • Clear written and verbal communication, including the ability to document complex system designs coherently.
  • Applicants must already have the right to work in the UK for the full programme without requiring visa sponsorship.
  • Previous industry experience is not required; relevant coursework, personal or team projects, research, or other experience may be described in the application.

Responsibilities

  • Contribute to firmware for next-generation products and software that supports hardware bootup and provides telemetry and monitoring data for data centre operators.
  • Write code, develop unit tests, and investigate hardware behaviour using logs, oscilloscopes, and logic analysers.
  • Contribute to a shared codebase and work with silicon and hardware teams.
  • Build practical experience in firmware development, unit testing, and debugging through assigned tasks.
  • Investigate issues on real hardware and connect software behaviour with physical signals.
  • Participate in code reviews and learn shared development practices and coding standards.

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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