Staff ML QA Engineer: CI/CD & Test Automation for AI Stack

Graphcore; Town of Cambridge; On-site; AUD 173,000 - 249,000; Full time

Benefits offered by this job

Flexible working

Generous leave

Pension match

Phantom equity

On-site barista and free food

Life insurance and income protection

EV salary sacrifice scheme

Private medical and dental options

Flexible benefits

Job summary

Graphcore is seeking engineers to validate its ML software stack, from frameworks to AI accelerator hardware. You will design production-quality test infrastructure and scalable test frameworks, building CI/CD pipelines across simulators, emulators, and hardware.

You’ll create ML workloads, analyze results and drive tooling improvements. This role lets you shape software architecture and developer experience while deepening your understanding of the AI compute stack and solving engineering

Qualifications

• Strong Python skills with production-quality software experience.
• Software design and architecture for large codebases, emphasizing testability and maintainability.
• Experience building CI/CD pipelines and automated testing in Linux environments.
• Familiarity with C or C++, including reading and debugging low-level code.

Responsibilities

• Design scalable test frameworks and production-grade test infrastructure.
• Build CI/CD pipelines that run across simulators, emulators and hardware.
• Create representative ML workloads, analyze execution, and drive improvements to testing and tooling.
• Shape software architecture and developer experience, beyond adding tests to existing systems.

Skills

Python

Software design

CI/CD pipelines

C/C++

Mentoring

Problem solving

Job description

Graphcore is seeking engineers to validate its ML software stack, from frameworks to AI accelerator hardware. You will design production-quality test infrastructure and scalable test frameworks, building CI/CD pipelines across simulators, emulators, and hardware.

You’ll create ML workloads, analyze results and drive tooling improvements. This role lets you shape software architecture and developer experience while deepening your understanding of the AI compute stack and solving engineering