Graduate Software Engineer, AI/ ML Test Systems 2027

What you’ll work on

Put your software skills to work testing how AI and machine learning workloads run on Graphcore accelerator hardware. 

As a Graduate Software Engineer in AI/ML Test Systems, you’ll create representative machine learning workloads and analyse their numerical accuracy and performance. You’ll design tests and help improve testing strategies and infrastructure across simulated and physical hardware. 

You’ll also build continuous integration and continuous delivery (CI/CD) pipelines, investigate difficult problems and turn your findings into measurable improvements. Your work will connect machine learning frameworks and models with the hardware beneath them, helping improve software quality and customer experience. 

How you’ll learn and grow

During the two-year programme, you’ll build practical experience across machine learning, testing, automation and performance analysis. 

Creating workloads and analysing results will help you understand how software behaves on accelerator hardware. Debugging issues will develop your problem-solving skills and help you connect numerical accuracy and performance to the systems running a model. 

Work on test infrastructure and CI/CD will show you how automated checks support software development across simulated and physical platforms. Sharing findings with development teams will help you explain technical problems clearly and turn evidence into improvements. 

What we're looking for

• 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. 

Experience with distributed workload management systems or machine learning operations (MLOps) pipelines would also be useful. These are additional strengths, rather than essential requirements. 

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore’s success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.