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Graphcore

Delivers IPU-powered AI cloud services

Staff System Software Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeGdańsk, PolandIn-person

About the Job

Requirements

  • Deep experience validating Linux kernels, device drivers, or similar systems software.
  • Strong C++ and Python test development skills.
  • Experience with continuous integration and continuous delivery (CI/CD), build tools, and modern automated testing practices.
  • Ability to debug complex issues across hardware, firmware, drivers, and upper software layers.
  • Proven ownership of technical work, priorities, and delivery in an agile engineering setting.
  • Ability to document and explain complex technical concepts.
  • Applicants must have the legal right to work in Poland.

Responsibilities

  • Own the test strategy that demonstrates Graphcore's next-generation drivers are production-ready.
  • Shape validation of complex device drivers and platform tools.
  • Design, build, execute, and report tests at component, system, and acceptance levels.
  • Debug difficult issues using hardware and software tools, simulators, and emulators.
  • Influence design decisions, guide test infrastructure, and drive reliability across the stack.
  • Mentor others, raise standards, and improve difficult system problems into lasting improvements.
  • Work directly with driver developers and hardware, firmware, machine learning stack, Kubernetes, and cloud management teams.

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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