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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Your question

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.

Your game plan

How to prepare for your Graphcore interview

Graphcore's interview process typically takes Total process typically takes 2-4 weeks from application to offer.. Starting your preparation 4 weeks ahead gives you enough time to research thoroughly, build strong examples, and practise until your answers feel natural rather than rehearsed. Candidates who prepare systematically consistently outperform those who wing it — and interviewers can always tell the difference.

4 weeks before

Research Graphcore thoroughly — read their annual report, recent press coverage, and leadership interviews. Understand their position in ai hardware and software and any challenges or opportunities they're facing. Follow Graphcore on LinkedIn and note the type of content they share — this reveals what they're proud of and where they're heading. Start reviewing the 5 stages of their interview process so you know exactly what to expect at each step. Identify anyone in your network who works or has worked at Graphcore and reach out for an informal conversation.

3 weeks before

Prepare 8-10 STAR examples from your experience that demonstrate Technical Excellence, AI/ML Knowledge, Innovation Drive. These should be specific, quantified stories you can adapt to different questions — don't just prepare one example per quality, because interviewers often ask follow-ups or probe the same competency from different angles. If you're applying for Software Engineer or Data Analyst role, make sure your examples are directly relevant to that function. Start practising answering questions out loud — silent preparation and written notes aren't enough, because the interview requires you to articulate your thoughts clearly under pressure.

2 weeks before

Do a full mock interview covering Graphcore's typical question types — common, behavioural, and technical. Time your answers (aim for 2-3 minutes per STAR response — shorter feels thin, longer loses the interviewer's attention). Research your interviewers on LinkedIn if you know who they are — understanding their background can help you tailor your examples. Prepare 4-5 thoughtful questions to ask at the end of each stage. Good questions show you've done your research: ask about team challenges, upcoming projects, or how the role contributes to Graphcore's strategy.

Final week

Review and refine your STAR examples — tighten any that felt long or unfocused during practice. Check Graphcore's news and social media for anything published in the last few days (being able to reference something current shows genuine, ongoing interest). Confirm logistics — location, format (video or in-person), dress code, who you're meeting, and how long to allow. Prepare a printed copy of your CV, the job description, and your question list. Plan your route if in-person. The night before, focus on rest rather than last-minute cramming — confidence and composure matter as much as preparation.

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.

Get through the door

How to apply to Graphcore

Start by studying Graphcore's careers page and current openings carefully. Tailor your CV to mirror the language they use in job descriptions — ai hardware and software employers use applicant tracking systems that scan for specific keywords, and generic applications get filtered out before a human sees them. If you're applying for Software Engineer, Data Analyst, Mechanical Engineer, research what each role involves at Graphcore specifically, not just the job title in general.

If you're early in your career, look for entry-level or junior positions on Graphcore's careers page. Some roles may not be advertised externally, so networking through LinkedIn and industry events can surface opportunities before they're posted publicly. Consider whether Graphcore offers internships or work experience placements as a route in — many startups employers use these as a pipeline for permanent roles.

Before submitting your application, research Graphcore's recent news, strategy, and any public statements from leadership. Mentioning something specific in your cover letter — a recent project, a company initiative, or a strategic direction — signals that you've done your homework and aren't sending the same application to every startups employer. Referrals from current employees significantly increase your chances of getting an interview, so connect with people at Graphcore on LinkedIn and attend any open days or recruitment events they run.

As a smaller organisation, Graphcore values personal connections. Attending industry events where their team members speak or exhibit can be an effective way to build rapport before you apply. In startups specifically, personal recommendations carry significant weight.

Mistakes candidates make

  • 1Submitting a generic CV that doesn't reference Graphcore or ai hardware and software-specific experience — tailored applications are significantly more likely to get past initial screening. Mirror the language from the job description and quantify your achievements.
  • 2Failing to research Graphcore's values, recent news, and strategic direction before the interview — interviewers can tell immediately when a candidate hasn't prepared beyond reading the About page on the website.
  • 3Not preparing concrete STAR examples that demonstrate Technical Excellence and AI/ML Knowledge — Graphcore uses competency-based interviewing, so vague answers like "I'm a team player" without specific situations, actions, and measurable outcomes will score poorly.
  • 4Underestimating the preparation timeline — Graphcore's process typically takes Total process typically takes 2-4 weeks from application to offer., and the best candidates start preparing weeks in advance. Last-minute cramming shows in your answers.
  • 5Neglecting to ask thoughtful questions at the end of each interview stage — generic questions like "what's the culture like?" waste your chance to demonstrate genuine curiosity about Graphcore and the specific role.
  • 6Applying to multiple roles at Graphcore simultaneously without tailoring each application — recruiters notice this, and it signals that you're not genuinely interested in any specific position.

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

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.

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