2026 Graduate Software Engineer - Triton

Graphcore

West of England

On-site

GBP 32,000 - 46,000

Full time

14 days+
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Benefits offered by this job

Flexible working
Generous leave
Pension matched
Phantom equity
On-site barista

Job summary

Graphcore is seeking a Graduate Software Engineer to join the Triton team, building software that helps ML developers leverage Graphcore hardware. You will connect accelerators with popular ML frameworks and learn how compilers, frameworks and hardware interact in production settings.

You will contribute to features, tests, docs, code reviews and performance improvements while receiving mentorship from experienced engineers.

Qualifications

  • Bachelor’s or master’s degree in computer science, Maths, Machine Learning, Data Science, or a related field.
  • Hands-on experience with Python or C++, gained through study, projects, placements, internships or open source.
  • Practical experience or strong academic understanding of compiler development; interest in AI, ML frameworks, high performance software or computing architectures.
  • Ability to write clear, maintainable code, tests and documentation.
  • Curiosity, ownership and willingness to learn through feedback, code reviews and technical discussion.

Responsibilities

  • Build software that helps ML developers get more from Graphcore hardware.
  • Contribute to features, tests, documentation, code reviews and performance improvements.
  • Learn how compilers, frameworks and hardware interact in production engineering.

Skills

Python
C++
Code quality

Education

BSc/MSc in CS/Math/ML/Data Science

Tools

PyTorch
Triton
JAX
TensorFlow

Job description

About the job

Build the software that helps machine learning developers get more from Graphcore hardware. As a Graduate Software Engineer in our Triton team, you will help connect Graphcore accelerators with the ML frameworks developers use every day.

Your work will make our software easier to use, more reliable and more performant for real AI workloads. You will learn how compilers, frameworks and hardware interact in a production engineering setting.

You will contribute to features, tests, documentation, code reviews and performance improvements across a complex codebase. You will be supported by experienced engineers while taking ownership of meaningful work early.

This role suits a curious graduate who wants to grow deep technical skills and see their code make a practical difference.

The Team & Culture

The Frameworks team makes Graphcore hardware work smoothly with tools such as PyTorch, Triton, JAX and TensorFlow. The team sits close to compilers, runtime software and hardware, so you will learn from different technical perspectives.

Work is organised through SCRUM, with clear priorities, regular feedback and shared accountability. You will own well-scoped tasks, ask questions early and build confidence through reviews, testing and documentation.

Decisions are shaped by technical evidence, user impact and open discussion. Engineers are expected to speak up, challenge assumptions and improve how the team works.

What we’re looking for
  • Bachelor’s or master’s degree in computer science, Maths, Machine Learning, Data Science, or a related field.
  • Hands-on experience with Python or C++, gained through study, projects, placements, internships or open source.
  • Practical experience or strong academic understanding of compiler development
    Interest in AI, machine learning frameworks, high performance software or computing architectures.
  • Ability to write clear, maintainable code, tests and documentation
  • Curiosity, ownership and willingness to learn through feedback, code reviews and technical discussion.
Benefits
  • Flexible working:Balance your work and personal life with greater flexibility
  • Generous leave:Take time to rest, recharge and enjoy life outside of work
  • Retirement planning support:Up to 5% matched pension
  • Phantom equity:Share inGraphcore’ssuccess
  • 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
  • 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
Sponsorship

Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.

Inclusion statement

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.

Join the team at Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

Join Graphcore’s Graduate Triton Software Engineering Programme and start building the skills, confidence, and experience to turn your learning into real impact.

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