Graduate AI/ML Test Systems Engineer

Graphcore; West of England; On-site; GBP 30,000 - 40,000; Full time

Benefits offered by this job

Flexible working

Pension matching

Phantom equity

Office spaces with free food and on‑s‑

Income protection

EV salary sacrifice

Private medical insurance

Dental cover

Job summary

Graphcore invites graduates to join a two-year software engineering programme in Bristol. You’ll work on testing AI/ML workloads on Graphcore accelerator hardware, design tests, and help improve testing strategies and infrastructure.

You’ll build CI/CD pipelines, tackle challenging problems, and collaborate with engineers to enhance software quality and customer experience. The Software QA team blends software engineering, automation and data analysis, with exposure to major ML frameworks.

Qualifications

• Bachelor's/Master's degree in Computer Science, Maths, ML, Data Science or a related field.
• Strong Python skills and proficiency in C++.
• Experience working with Linux operating systems and the ability to learn new technologies quickly.
• Exposure to machine learning frameworks such as PyTorch, JAX, Triton or TensorFlow would be useful.

Responsibilities

• Design and run tests for AI/ML workloads on Graphcore hardware.
• Create representative ML workloads and analyse numerical accuracy and performance.
• Build CI/CD pipelines and improve testing infrastructure.
• Collaborate with teams to improve software quality and customer experience.

Skills

Python

C++

Linux

ML basics

Education

Bachelor's/Master's in Computer Science, Maths, ML, Data Science

Tools

PyTorch

JAX

TensorFlow

CI/CD

Job description

Graphcore invites graduates to join a two-year software engineering programme in Bristol. You’ll work on testing AI/ML workloads on Graphcore accelerator hardware, design tests, and help improve testing strategies and infrastructure.

You’ll build CI/CD pipelines, tackle challenging problems, and collaborate with engineers to enhance software quality and customer experience. The Software QA team blends software engineering, automation and data analysis, with exposure to major ML frameworks.