Staff ML QA Engineer - Build scalable tests & CI/CD

Academic Key

Greater London

Hybrid

GBP 90,000 - 135,000

Full time

19 hours ago
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Benefits offered by this job

Flexible working
Generous leave
Retirement planning support
Phantom equity
Workplace experience
Peace of mind protection
Electric Vehicle Scheme
Flexible benefits
Optional benefits

Job summary

Graphcore, a leader in AI compute, seeks a Staff Software Engineer (ML QA) in London to design and maintain production-quality test infrastructure for the ML stack. You’ll build scalable test frameworks and CI/CD pipelines spanning simulators, emulators and hardware, shaping software architecture and developer experience.

Mentoring junior engineers and driving quality across teams are key aspects. You’ll work with industry-standard frameworks, analyze ML workloads and translate results into

Qualifications

  • Proven ability to design and maintain production-quality test software.
  • Experience building CI/CD pipelines for ML stacks in Linux environments.
  • Familiarity with reading and reasoning about low-level C/C++ code.
  • Ability to mentor junior engineers and influence engineering practices.
  • Self-directed problem solving and gap identification in complex systems.
  • Value diverse experiences and returnship candidates are welcome.

Responsibilities

  • Design and implement scalable test infrastructure for Graphcore’s ML stack.
  • Build CI/CD pipelines that run across simulators, emulators and hardware.
  • Create representative ML workloads and analyze their execution to drive improvements.
  • Collaborate with software teams to raise quality, security and maintainability.

Skills

Python
CI/CD
Linux
C/C++
Mentoring
Software architecture

Tools

CI/CD tooling
Testing frameworks

Job description

Graphcore, a leader in AI compute, seeks a Staff Software Engineer (ML QA) in London to design and maintain production-quality test infrastructure for the ML stack. You’ll build scalable test frameworks and CI/CD pipelines spanning simulators, emulators and hardware, shaping software architecture and developer experience.

Mentoring junior engineers and driving quality across teams are key aspects. You’ll work with industry-standard frameworks, analyze ML workloads and translate results into

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