Graphcore · AI infrastructure
Graduate Software Engineer, Frameworks 2027
- Bristol
- Full-time
- £45,000 / year
Still open on Graphcore's site · checked 1 hour ago
- Level
- Junior
- Education
- Bachelor's degree
- Posted
- Visa & relocation
- Graphcore does not offer visa sponsorship for this job
See all jobs with visa or relocation supportIn the job ad:
“Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship.”
“We are unable to sponsor work visas for our Early Careers opportunities.”
What you'll do
As written by Graphcore · Read the original
What you’ll work on
Help build the software that connects Graphcore hardware with the machine learning frameworks researchers and engineers rely on.
As a Graduate Software Engineer across our Frameworks team, you’ll develop software connecting Graphcore’s machine learning accelerators with frameworks including PyTorch and Triton. You’ll implement features, optimise performance, resolve defects and create tests and technical documentation. You’ll write and improve tests, investigate issues and help make the software more reliable and faster.
You’ll also write clear documentation and take part in code reviews, discussing ideas and learning from feedback. Take ownership of clearly scoped tasks, with support from experienced colleagues as you learn your way around the codebase.
How you’ll learn and grow
During the two-year programme, you’ll build your understanding of how software and hardware work together to run AI workloads.
Hands-on tasks will help you develop your knowledge of compilers and runtime software, alongside your skills in testing, debugging and documentation. Code reviews and technical discussions will give you feedback on your approach and help you learn how other engineers solve problems.
As you build confidence in the codebase, you’ll learn how to turn an idea into a software feature, investigate how it behaves and explain your work to colleagues.[
Requirements
What we’re looking for
- Bachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, Data Science or a related field
- Hands-on experience with Python or C++, with the ability to write clear, maintainable code, tests and documentation
- Practical experience or a strong academic understanding of compiler development, ML frameworks or a computationally intensive engineering field
- An interest in AI, machine learning frameworks, high-performance software or computer architecture, with curiosity and openness to learning through feedback and technical discussions
You can demonstrate these skills through coursework, a dissertation, personal or team projects, placements, internships, open-source contributions or other relevant experience.
Relevant modules and university projects count as evidence of your compiler knowledge. Tell us what you built or investigated, how you approached it and what you learned.
Skills
Stack
- Python
- C++
- PyTorch
- Triton
Working languages
English
Salary & benefits
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.
Company
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