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For Companies At a Glance
- Tasks: Design and optimise software for cutting-edge machine learning frameworks like PyTorch.
- Company: Join Graphcore, a leader in AI innovation and part of the SoftBank Group.
- Benefits: Enjoy flexible working, generous leave, private medical insurance, and more.
- Why this job: Make a real impact in the AI field while collaborating with diverse teams.
- Qualifications: Bachelor's or Master's in relevant fields and experience in Python development.
- Other info: Be part of a culture that values collaboration, learning, and inclusivity.
The predicted salary is between 36000 - 60000 £ per year.
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 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 enjoys a culture of continuous learning and constant innovation.
Job Summary
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 state-of-the-art machine learning frameworks such as PyTorch and Triton. This role sees you joining our PyTorch team, where you will be part of a SCRUM team working on delivering new features, optimising performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users. In this role you will closely collaborate with other engineers, both within the PyTorch team as well as other engineering teams. You will contribute to the delivery of complex, open-ended technical tasks and develop deep expertise in the PyTorch project. You understand the importance of managing code quality and code complexity and balancing this against the team’s goals and deadlines.
The Team
The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton and in future, Jax and TensorFlow. 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 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.
Responsibilities and Duties
- 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 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.
Candidate Profile
- Bachelor or Master’s in Computer Science, Maths, Machine Learning, Data Science, or related field.
- Experience of Python development.
- At least one of:
- Experience of compiler development.
- Experience of using and/or development of ML Frameworks.
- Experience in a computationally intensive engineering field.
- 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 writing ML kernels.
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.
2026 Graduate Software Engineer - PyTorch Bristol, UK employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 2026 Graduate Software Engineer - PyTorch Bristol, UK
✨Tip Number 1
Network like a pro! Reach out to current employees at Graphcore on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the PyTorch team.
✨Tip Number 2
Show off your skills! If you’ve worked on any projects related to machine learning or Python, make sure to highlight them in conversations or during interviews. Real-world examples can really set you apart.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of ML frameworks. Practice common coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Graphcore family.
We think you need these skills to ace 2026 Graduate Software Engineer - PyTorch Bristol, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Graduate Software Engineer. Highlight your experience with Python and any relevant projects, especially those involving machine learning frameworks like PyTorch.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills align with our mission at Graphcore. Don’t forget to mention any collaborative projects or experiences that showcase your teamwork.
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially in areas like code optimisation and maintaining complex code bases. Mention any experience you have with testing and documentation, as these are key parts of the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at graphcore
✨Know Your PyTorch Inside Out
Make sure you brush up on your PyTorch knowledge before the interview. Familiarise yourself with its latest features and how it integrates with machine learning frameworks. Being able to discuss specific use cases or projects where you've applied PyTorch will definitely impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past experiences where you've tackled complex coding challenges. Graphcore values innovation, so be ready to explain your thought process and how you optimised performance in your previous projects. Use examples that highlight your ability to manage code quality and complexity.
✨Get Agile with Your Approach
Since the role involves working in a SCRUM team, it’s essential to understand agile methodologies. Be prepared to talk about your experience with agile practices and how you’ve contributed to team goals in a collaborative environment. This shows you’re not just a great coder but also a team player.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Graphcore's projects, team dynamics, and future developments in AI. This not only demonstrates your genuine interest in the company but also gives you valuable insights into whether this is the right fit for you.
