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Graduate Software Engineer, Accelerator Modelling 2027

Join Graphcore as a Graduate Software Engineer to model future AI accelerators with hands-on learning in a supportive team environment.

Location
Bristol, United Kingdom
Compensation
Not disclosed
Level
junior
Type
full time · On-site

Posted by employer 19 hours ago

First seen on Joblaze 3 hours ago

Last verified on the company career page 3 hours ago

Apply at Graphcore → Save job Scanned from graphcore.ai

Skills & Technologies

C++ Flexible on stack

What you'll build

  • Develop models and simulations for AI accelerators
  • Investigate complex workloads
  • Contribute to planning and design
  • Help integrate future hardware versions
  • Scale distributed modelling environments

Must have

  • Bachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, Data Science or related field
  • Strong C++ programming skills
  • Understanding of computer science fundamentals
  • Ability to debug complex problems
  • Curiosity about processor architecture and performance modelling

Practical constraints

  • Applicants must already have the right to work in the UK

Requirements

Education
Bachelor's degree
Visa
No sponsorship (stated in posting)

Not disclosed in this posting: compensation, years of experience.

Benefits

Flexible Benefits Optional Benefits Retirement Planning Support Peace of mind protection Electric Vehicle Scheme Workplace Experience Phantom Equity Flexible Working

Joblaze summary

In the role of Graduate Software Engineer for Accelerator Modelling at Graphcore, the individual will engage in developing and refining models for future AI accelerators, utilizing C++ to predict performance and scalability. Key skills include strong programming capabilities in C++, an understanding of computer science fundamentals, and a curiosity about hardware simulation. This position is ideal for recent graduates or those with equivalent experience in computer science or related fields, looking to deepen their knowledge in a collaborative environment focused on cutting-edge AI technology.

Joblaze insights

  • Listed today — first seen on Joblaze October 21, 2026. Last confirmed on Graphcore's careers page October 21, 2026.

Quick facts

Is the Graduate Software Engineer, Accelerator Modelling 2027 role remote?
No — this is an on-site role in Bristol, United Kingdom.
Where is the role based?
Graphcore is hiring for this position in Bristol, United Kingdom.
What's the tech stack?
Joblaze extracted these technologies from the posting: C++.
What seniority level is this role?
Graphcore targets junior candidates for this position.
Is this full-time or contract?
Full-time for this Graduate Software Engineer, Accelerator Modelling 2027 role at Graphcore.

From the original posting

Location: Bristol, UK
Start date: September 2027
Application deadline: Midnight, 29th November 2026
We encourage you to apply early, as we may close applications before the advertised deadline.

The Graduate Programme at Graphcore

Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you’ll be trusted to take ownership, share your ideas and help shape what we’re creating. You’ll tackle challenging problems alongside a team who support your development and are as excited about your success as you are.

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.

Your team and Support

The Accelerator Modelling Team works across architecture, hardware and software.

You'll be working in a small team, team lead and all senior members would support you with every step on your way. Modelling team faces a lot of the unknowns and challenging problems at the cutting edge of AI technology. There’s a buddy system in place, so you will always have a point of contact, ready to answer all questions or help with anything.

Decisions are driven by evidence from the models and clear engineering judgement. You’ll be encouraged to ask questions, challenge existing approaches and share ideas for making things better.

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.

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.

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

Introduction to Graphcore

At Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together.

Ready to put your learning into practice? Start your career in a permanent Software Engineer role in Accelerator Modelling, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next.

Standard company text repeated across Graphcore's postings is omitted here.

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