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Graphcore

Delivers IPU-powered AI cloud services

Graduate Software Engineer - System Software QA

Test Automation EngineeringConfirmed live in the last 24 hours
Full-time£45k /yr

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Mathematics, Data Science, or a related field.
  • Experience working with Linux internals and/or firmware.
  • Strong proficiency in C/C++ and Python.
  • Clear written and verbal communication, a collaborative and practical approach to technical problem-solving, and ownership of quality work.

Responsibilities

  • Validate low-level firmware, Linux kernel drivers, and platform tools.
  • Design and develop tests, investigate issues, and provide development teams with feedback on software quality.
  • Maintain and improve continuous integration pipelines across different platforms.
  • Work with System Software development teams to strengthen test-driven development and solve practical engineering problems.
  • Conduct hands-on testing across firmware, Linux kernel drivers, and platform tools.
  • Configure hardware connections in the lab and build automation pipelines to run tests and process results.
  • Debug defects and communicate technical issues to development teams to support software improvements.

Desired Qualifications

  • Knowledge of low-level software testing, virtualisation, hypervisor concepts, or automation pipelines.

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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