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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-timeNo salary listedIn-person

About the Job

Requirements

  • Strong experience in low-level system testing and integration across complex software and hardware layers.
  • Deep understanding of real-time operating systems, complex boot logic, Linux, and device drivers.
  • Test development capability using Python and C/C++.
  • Experience working with hardware, debuggers, continuous integration and continuous delivery pipelines, and build or integration tools.
  • Ability to debug cross-layer issues and drive root-cause investigations to lasting corrective actions.
  • Clear communication skills, ability to mentor engineers, and ability to document complex technical decisions.

Responsibilities

  • Build the test strategy that protects system software releases at scale.
  • Shape integration and system testing across firmware, BMC, and Linux device drivers.
  • Design, build, automate, and report tests across complex server-class systems.
  • Develop reusable tools, pipelines, and packaging solutions.
  • Own challenging technical areas, guide best practices, and remain close to the code.
  • Verify integrated components across BMC, firmware, and Linux device drivers.
  • Partner with developers, consult package stakeholders, and turn use cases into robust system tests.
  • Use evidence, clear technical reasoning, and ownership to shape decisions; raise standards through hands-on technical leadership.

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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