Graphcore · AI infrastructure
Graduate Software Engineer, Accelerator Modelling 2027
- Bristol
- Full-time
- £45,000 / year
AI roleMLOpsML platform
Still open on Graphcore's site · checked just now
- Level
- Junior
- Education
- Bachelor's degreeor equivalent experience
- 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
Put your C++ skills to work modelling future AI accelerators before they exist and help shape how Graphcore engineers design them.
As a Graduate Software Engineer in Accelerator Modelling, you’ll develop, test and refine models and simulations for the next-generation AI accelerators. Your work will help predict performance, power consumption and scalability, giving engineers evidence to compare approaches before hardware decisions are made.
You’ll investigate how complex workloads behave, contribute to planning, design, implementation and testing, and help other teams integrate future hardware versions. You’ll also help scale distributed modelling environments. It’s a chance to see how software models connect architectural ideas with future hardware.
How you’ll learn and grow
During the two-year programme, you’ll build practical experience in C++ development, hardware simulation and performance modelling, building skills close to architecture, software and hardware design.
Developing and debugging modelling code will help you understand how complex workloads behave and how to test whether a model captures that behaviour. Reviews and feedback will help you develop your engineering judgement and explain the trade-offs you find.
Working with architects, engineers and machine learning researchers will show you how modelling results inform hardware decisions and how your work connects to the wider computing system.
Requirements
What we're looking for
- Bachelor’s/Master’s degree, or equivalent experience, in Computer Science, Maths, Machine Learning, Data Science or a related field
- Strong C++ programming skills, gained through study, projects, personal coding or practical experience
- An understanding of computer science fundamentals and an interest in lower-level software
- The ability to debug complex problems and explain your thinking clearly, with exposure to debugging tools, performance analysis, testing, version control or collaborative software development practices
- Curiosity about processor architecture, hardware simulation, performance modelling or systems behaviour, and a willingness to ask questions and learn through feedback
You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned.
Skills
Stack
- C++
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
Last checked . The details above were extracted automatically; the employer's original posting is the authority.