Graduate Software Engineer - Triton

About Us

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 Soft Bank 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 enjoys a culture of continuous learning and constant innovation.

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in using machine learning frameworks such as PyTorch and Triton.

This role sees you joining our Triton team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and Tensor Flow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease‑of‑use as well as performance.

We work closely work with other Graphcore teams as well as leading open‑source communities.

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.

• Supporting the design and implementation of new features & maintaining and supporting existing features.
• Developing and maintaining unit tests, component tests and integration tests.
• Optimising the software stack to make it more performant for our users.
• Managing complex technical tasks with cross‑team dependencies.
• Managing code quality, code complexity and technical debt.
• Contributing to documentation, including user manuals and tutorials.
• Conducting code reviews.
• Resolving regressions, performance issues and software defects.
• Contribute to continuous improvements to improve ways of working.
• Working with upstream open‑source development teams.

Essential

• Bachelor or Master’s degree in Computer Science, Maths, Machine Learning, Data Science, or related field
• Hands‑on experience with Python/C++ development.
• Practical experience of compiler development.

Desirable

• Demonstrable knowledge of AI/ML.
• Understanding of computing architectures.
• Experience of maintaining and supporting a complex code base.
• Experience in profiling / optimising high performance code.
• Experience of using and/or development of ML Frameworks.

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support).

We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone.

We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.