Staff ML QA Automation Engineer

Graphcore; West of England; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Flexible working

Generous leave

Pension matching

Phantom equity

Office spaces

Free food

On-site barista

Income protection

Life Assurance

EV salary sacrifice

Flexible benefits

Private medical insurance

Dental cover

Health cash plan

Cycle to work

Give as you earn

Job summary

Graphcore is seeking an experienced ML QA Engineer to build robust test infrastructure, scalable frameworks, and CI/CD pipelines across simulators, emulators, and hardware. You will create representative ML workloads, analyze performance, and drive improvements in testing and tooling while shaping software architecture and mentoring junior engineers.

You will work to ensure reliability of the ML software stack, collaborating with teams to raise quality, maintainability and security across the

Qualifications

• Strong Python skills for production-quality software design and maintenance.
• Software design and architecture for large codebases with testability focus.
• Experience building CI/CD pipelines and automated testing systems in Linux environments.
• Familiarity with C or C++ for low-level code understanding.

Responsibilities

• Design 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 their execution and derive improvements to testing and tooling.
• Shape software architecture and developer experience; mentor junior engineers.

Skills

Python

Software architecture

CI/CD

C/C++

Mentoring

Self-directed

Job description

Graphcore is seeking an experienced ML QA Engineer to build robust test infrastructure, scalable frameworks, and CI/CD pipelines across simulators, emulators, and hardware. You will create representative ML workloads, analyze performance, and drive improvements in testing and tooling while shaping software architecture and mentoring junior engineers.

You will work to ensure reliability of the ML software stack, collaborating with teams to raise quality, maintainability and security across the