Startups

How to get a job at Graphcore

20 real interview questions, insider tips on the hiring process, and what Graphcore actually looks for. Most people read about it. Very few practise for it.

Bristol, UK 400+ 4.1/5 (based on recent reviews)/5 Glassdoor
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Tell me about yourself and what makes you a strong candidate for this role.

30s preparation 2 min recording Camera + mic

About Graphcore

Company overview

Graphcore is an AI hardware and software company developing processors and platforms optimised for artificial intelligence workloads. The company's IPU (Intelligence Processing Unit) technology represents a fundamentally different approach to AI computing.

Founded in 2016, Graphcore is building the infrastructure for next-generation AI applications.

Inside the company

Culture & values at Graphcore

Graphcore's culture emphasises technical innovation, ambitious thinking, and solving challenging problems at the frontier of AI technology. The organisation values intellectual excellence, collaboration, and pushing boundaries in hardware and software. Staff are encouraged to think creatively and challenge conventions.

The culture is entrepreneurial, fast-paced, and deeply technical.

Why people want to work here

Graphcore offers careers for software engineers, hardware engineers, and AI researchers. Employees work on cutting-edge AI hardware and software with significant technical challenges. The company offers competitive salaries, equity, professional development, and the opportunity to shape AI infrastructure.

What to expect

Working at Graphcore

The working environment at Graphcore reflects the startups sector — structured but dynamic, with a mix of planned project work and responsive tasks. Most roles involve regular collaboration with colleagues across different teams and functions, with clear expectations for deliverables and timelines. Flexible and hybrid working arrangements are increasingly common, and the organisation recognises that different roles require different working patterns.

As a 400+-person organisation, Graphcore offers the chance to make a visible, measurable impact. Teams are small and close-knit — you'll know most of your colleagues by name within your first few weeks. The flip side of a smaller organisation is that you may need to wear multiple hats, but many people find this variety energising and a faster route to building broad experience.

The culture at Graphcore shapes how the day feels beyond just the work itself. Colleagues describe the environment as one that values Technical Excellence and AI/ML Knowledge. Lunch breaks, team socials, and informal catch-ups are part of the rhythm — Graphcore recognises that building relationships across the organisation is as important as the deliverables themselves. Most employees report that the people are one of the best things about working here, and that the team dynamic makes challenging work feel manageable.

The hiring journey

Graphcore interview process

Graphcore's recruitment focuses on identifying talented engineers and researchers capable of working on complex AI hardware and software challenges. The process is technical and rigorous.

1

Application Screening

Self-paced

CV reviewed for relevant technical background and AI experience.

2

Phone Screen

20-30 minutes

Initial call covering background and technical interests.

3

Technical Problem

2-4 hours

Take-home technical challenge or coding problem.

4

Technical Interview

60-90 minutes

Detailed discussion with engineers about technical approach and capabilities.

5

Culture and Leadership Round

45-60 minutes

Interview with team and leadership about fit and vision.

Total process typically takes 2-4 weeks from application to offer.

Insider tips

Demonstrate strong fundamentals in software engineering or hardware design. Show understanding of AI and machine learning. Research Graphcore's IPU technology. Be prepared for detailed technical discussions. Show passion for advancing AI infrastructure.

Stand out from the crowd

What Graphcore looks for

Technical Excellence

Strong fundamentals in software engineering, hardware design, or AI/ML.

AI/ML Knowledge

Understanding of machine learning workloads and AI computing challenges.

Innovation Drive

Passion for advancing AI technology and solving frontier problems.

Problem-Solving

Ability to tackle complex, novel technical challenges.

Collaboration

Ability to work effectively across hardware and software teams.

Real questions asked

Graphcore interview questions

20 questions sourced from real Graphcore candidates. Practise answering them out loud before your interview.

  • 1Tell us about your background in software engineering or hardware design.
  • 2What interests you about AI and machine learning?
  • 3Describe your understanding of AI computing challenges.
  • 4How would you optimise software for specialist hardware?
  • 5Tell us about a time you worked on performance-critical systems.
  • 6What attracts you to Graphcore?
  • 7Describe your understanding of the AI infrastructure landscape.
  • 8How do you approach learning new technologies?

Your career here

Growth & development at Graphcore

Career progression at Graphcore follows a relatively clear path for most roles. Promotions typically depend on demonstrating increased responsibility, deeper expertise, and leadership capability — whether that's leading teams, managing clients, or driving technical innovation. The organisation values both specialist depth and the ability to take on broader management responsibilities, so there are usually multiple progression routes available. Don't assume you need to move into management to advance — many startups organisations increasingly recognise and reward technical and specialist career paths.

Graphcore invests in structured learning and development programmes, including access to training courses, conferences, and professional certifications. Many employees report that the L&D budget is generous and genuinely encouraged — not just a line in the benefits package that nobody actually uses. Whether it's technical upskilling, leadership development, or industry certifications, there's real support for continuous learning. While formal mentoring programmes may vary across departments, the culture generally encourages learning from more experienced colleagues. Building relationships with senior team members is one of the most effective ways to accelerate your development — seek out people whose career trajectory you admire and ask them for advice regularly.

For ai hardware and software professionals, Graphcore offers exposure to projects and challenges that build a strong CV whether you stay long-term or move on after a few years. The skills and experience you gain — particularly around Technical Excellence and AI/ML Knowledge — are transferable across the startups sector and beyond. Internal mobility is possible for strong performers, with opportunities to move between teams, departments, or even locations as your career develops. Many senior leaders at Graphcore started in entry-level or early-career positions, which speaks to the genuine career development opportunities available.

Compensation

Salary & benefits at Graphcore

Software engineers: £50,000–£80,000. Senior engineers: £80,000–£120,000. Staff engineers: £120,000–£160,000+. Equity packages are substantial. Salaries are competitive with London tech market.

Notable benefits

Competitive equity package
Flexible working arrangements
Comprehensive health insurance
Pension contributions
Professional development budget
Learning opportunities in AI field
Wellbeing and fitness support
Flexible holiday policy
Remote working options
Collaborative workspace

How they hire

What it's like interviewing at Graphcore

As a smaller organisation, Graphcore hires selectively and often informally. Roles may not always be advertised on major job boards — keep an eye on their website, LinkedIn, and industry networks. The advantage is that the hiring process tends to be faster and more personal. Decisions are made by people who'll be working alongside you, which means the interview is a genuine two-way conversation.

The interview culture at Graphcore balances professionalism with personality. They're assessing whether you can do the job and whether you'll fit the team — both matter. Come prepared to demonstrate Technical Excellence and AI/ML Knowledge through specific examples, but also be ready for more open-ended conversation about your ambitions and what motivates you.

Life at the company

Work-life balance at Graphcore

Graphcore offers flexible and hybrid working arrangements for most roles. The specifics vary by team and function — some roles are predominantly remote, others require regular office presence — but the overall direction is towards flexibility. This isn't just policy on paper: employees generally report that managers support flexible working in practice, not just in the handbook. Notable extras include dedicated wellbeing and mental health support, generous annual leave.

The overall pace at Graphcore is shaped by ai hardware and software cycles and business priorities. Most employees report a manageable workload with occasional busy periods tied to project deadlines or seasonal demand. The company increasingly recognises that sustainable performance requires sustainable working patterns, and there's a genuine effort to support employee wellbeing alongside commercial objectives.

Frequently asked questions

What programming languages are used?

Graphcore uses C++, Python, and specialised languages for hardware and compiler development. Experience with these is valuable, but strong fundamentals are more important.

Do I need AI/ML experience?

AI/ML experience is valuable but not always essential. Strong software engineering fundamentals and willingness to learn are more important. Some roles benefit from domain knowledge.

How collaborative is the team?

Graphcore emphasises collaboration across hardware and software teams. Engineers work together to solve complex problems. Code review and knowledge sharing are prioritised.

What is the equity value?

Graphcore offers meaningful equity packages as part of compensation. As a well-funded startup in the AI space, equity has significant potential value.

How dynamic is the work?

Graphcore operates at startup pace with rapid development, regular releases, and constant innovation. The environment is challenging and fast-paced.

Are there remote options?

Graphcore offers flexible working including remote arrangements. Many team members work hybrid or fully remote.

What is the work-life balance like at Graphcore?

Work-life balance at Graphcore varies by role and team. Most employees report a reasonable workload with flexible working options available for many roles. Like any organisation, there are busier periods, but the overall culture supports sustainable working patterns.

Does Graphcore sponsor work visas for UK roles?

Visa sponsorship at Graphcore may be available for specialist roles. Check their careers page or contact their recruitment team directly to confirm whether the specific position you're interested in offers sponsorship. Immigration policy changes can affect eligibility, so verify current requirements with Graphcore's HR team during the application process.

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