ApplySarthi

Graduate Software Engineer, Accelerator Modelling 2027

Graphcore Early Careers

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This role on the market

46 open accelerator roles across 21 companies are on ApplySarthi right now, most of them in Bengaluru (3).

What accelerator roles keep asking for: AWS (33%), C++ (22%), Machine learning (17%) — counted across their open postings here.

Software Engineer jobs in Germany · Remote Software Engineer jobs · C++ jobs · Machine learning jobs

Graphcore Early Careers has 20 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for accelerator roles keep coming back to AWS, C++, Machine learning. Practise those questions before you sit with Graphcore Early Careers.

Questions you are likely to be asked

  1. Why do you want to join Graphcore Early Careers?
  2. What is your experience with C++? Tell me one thing you learned the hard way.
  3. Walk me through a system you built. How was it designed, and what would you change now?
  4. Tell me about a hard bug you tracked down. How did you find the cause?
  5. How do you decide what to test, and what does good code review look like to you?

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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 

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

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.

Sponsorship

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.

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.

How to apply and what to expect 

To apply, answer the application questions below and upload your CV and cover letter. We’ll let you know the outcome of your application by early December at the latest. If successful, you’ll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring.

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. 

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