Graduate AI/ML Test Systems Engineer (Flexible + Perks)

Graphcore; West of England; On-site; GBP 42,000 - 52,000; Full time

Benefits offered by this job

Flexible working

Pension up to 5% matched

Phantom equity

On-site amenities

Health and life protection

EV salary sacrifice scheme

Flexible benefits package

Additional voluntary benefits

Job summary

Graphcore’s Graduate Software Engineer programme in AI/ML Test Systems invites you to apply. You’ll test AI workloads on our accelerator hardware and build representative ML workloads to analyze accuracy and performance.

You’ll design tests, refine testing strategies and infrastructure, and develop CI/CD pipelines connecting ML frameworks to hardware. You’ll work with a Software QA team, explore multiple areas, and gain practical experience across machine learning, testing, automation and

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, 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, test automation, CI/CD, data analytics, hardware architectures or compilers would be useful.

Responsibilities

• Test how AI and ML workloads run on Graphcore accelerator hardware.
• Create representative machine learning workloads and analyse their numerical accuracy and performance.
• Design tests and help improve testing strategies and infrastructure across simulated and physical hardware.
• Build CI/CD pipelines and connect machine learning frameworks and models with the hardware beneath them.

Skills

Python

C++

Linux

Quick learner

Education

Bachelor’s/Master’s in Computer Science, Maths, ML, Data Science or related field

Tools

PyTorch

JAX

Triton

TensorFlow

CI/CD

Data analytics

Job description

Graphcore’s Graduate Software Engineer programme in AI/ML Test Systems invites you to apply. You’ll test AI workloads on our accelerator hardware and build representative ML workloads to analyze accuracy and performance.

You’ll design tests, refine testing strategies and infrastructure, and develop CI/CD pipelines connecting ML frameworks to hardware. You’ll work with a Software QA team, explore multiple areas, and gain practical experience across machine learning, testing, automation and