Silicon Summer Intern 2027

Electronics, Computer Science, Physics, Maths, AI.

We encourage you to apply early, as we may close applications before the advertised deadline.

Introduction to Graphcore

Graphcore Careers: where the future is going to happen
Find out why Graphcore is the place to do your best work, whatever your specialism... from silicon design, to research, to applied AI.

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.

The Internship Programme at Graphcore 

Explore a career at Graphcore through a 12-week summer internship, gaining hands-on experience on real projects. You’ll bring fresh ideas, put your learning into practice and help shape what we’re creating. Along the way, you’ll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence. 

What you’ll work on

Bring your curiosity, bright ideas and problem-solving skills to the chips behind tomorrow’s AI systems.

As a Graduate Silicon Engineer, you’ll join one of our four specialist Silicon teams: logical design, verification, physical design or design for test (DFT). You’ll contribute to real chip development, learning from experienced colleagues and building your understanding of how advanced AI chips are designed, verified and prepared for manufacture.

Depending on your team, you’ll work on areas such as register-transfer level (RTL) design, SOC integration, verification methods, physical implementation or the critical role of DFT. You’ll use industry-standard electronic design automation (EDA) tools and take ownership of clear tasks, with support from experienced engineers.

How you’ll learn and grow

During the two-year programme, you’ll develop practical silicon engineering skills in the team you join, building on the fundamentals you’ve learned through your studies and projects.

Hands-on tasks will help you learn modern design techniques and use industry-standard EDA tools. You’ll build skills in areas such as RTL, verification, timing or physical design, depending on your team’s focus.

Feedback from reviews and practical problem solving will help you develop your technical judgement, explain your approach and understand how your work fits into the wider chip development process. Bring your curiosity and willingness to learn; we’ll support you as you build your knowledge and confidence.

What we’re looking for

  • Working towards a degree in Electronic Engineering, Computer Science, or a related subject such as Physics or Maths. 
  • Technical skills in C, C++ or Python, demonstrated through study, projects, hobbies or practical experience 
  • An interest in AI compute and silicon design, including ASICs, verification, logical design, DFT or physical design, with motivation to learn EDA tools and modern design techniques 
  • A curious, self-starting approach, with examples from activities or hobbies beyond your studies, plus clear communication and the ability to work well with others 

Previous industry experience is not required. Tell us what you built or investigated through coursework, laboratory work, personal or team projects or other relevant experience, how you approached it and what you learned. 

Benefits

  • Flexible working: Find a balance between your internship and life outside work 
  • 5 days of annual leave: Take time to rest and recharge during your 12-week internship 
  • Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food, a great selection of ice cream and an on-site barista 
  • Learning and development: Build your skills and explore your interests with access to O’Reilly, our online learning platform 

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.

How to apply and what to expect

To apply, answer the application questions 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.

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Can I use AI to apply?

AI can be a useful tool when preparing your application, but your CV and cover letter should reflect your own experiences, skills and motivations.

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Add to Shortlist
Shortlisted
  • Deadline
    November 29th, 2026
  • Starting
    June 2027
  • Salary
    £2,500 per month + benefits
  • Degree required
    Bachelor's
  • Duration
    12 weeks
  • Location
    Bristol and Cambridge
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Disciplines Accepted...
  • AI/Machine Learning
  • Computer Science
  • Electronic/Electrical
  • Maths
  • Physics
  • Software/Systems
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