QA Automation Engineer: ML Stack, CI/CD & Test Infra

Graphcore

Bristol

On-site

GBP 65,000 - 95,000

Full time

2 days ago
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Benefits offered by this job

Flexible working
Generous leave
Pension plan
Phantom equity
Office barista

Job summary

Graphcore is seeking an ML QA Software Engineer to build production-quality test infrastructure for its ML stack, spanning frameworks to hardware. You will design scalable test frameworks and CI/CD pipelines that run across simulators, emulators and physical hardware, creating representative ML workloads and turning results into practical improvements.

You will mentor junior engineers, influence engineering practices, and collaborate across software teams to improve quality, security and

Qualifications

  • Strong Python skills demonstrated through building production-quality software.
  • Software design and architecture skills for large codebases, with a focus on testability and maintainability.
  • Experience building CI/CD pipelines and automated testing systems in Linux environments.
  • Familiarity with reading, debugging and reasoning about low-level C/C++ code.
  • Ability to mentor junior engineers and influence engineering practices through feedback.
  • Self-directed approach to solving complex problems and driving improvements.

Responsibilities

  • Build production-quality test infrastructure for Graphcore's ML stack.
  • Architect scalable test frameworks and CI/CD pipelines across simulators, emulators and hardware.
  • Create representative ML workloads, analyze execution results and drive tooling improvements.
  • Mentor junior engineers and raise the team's technical standards.

Skills

Python
Software design
CI/CD pipelines
Linux
C/C++ reading
Mentoring
Problem solving

Job description

Graphcore is seeking an ML QA Software Engineer to build production-quality test infrastructure for its ML stack, spanning frameworks to hardware. You will design scalable test frameworks and CI/CD pipelines that run across simulators, emulators and physical hardware, creating representative ML workloads and turning results into practical improvements.

You will mentor junior engineers, influence engineering practices, and collaborate across software teams to improve quality, security and

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