Graphcore interview process & guide 2026
Everything we know about interviewing at Graphcore: the process stage by stage, what each round tests, and compensation by level.
- 1Recruiter Screen
- 2Technical Assessment
- 3Deep-Dive Interviews
- 4Final Stage Evaluations
Interviewing at Graphcore
Graphcore's interview process is structured to thoroughly assess technical and analytical skills. The company places a strong emphasis on technical assessments, often using platforms like HackerRank, and involves multiple stages that may include deep-dive interviews and intensive technical discussions. Candidates can expect a rigorous evaluation of their technical expertise and problem-solving abilities.
The interviews at Graphcore focus heavily on topics such as Python, Machine Learning Engineering, and QA Engineering. Candidates should be prepared for questions on deep learning concepts, data structures and algorithms, and scalable machine learning systems. Technical skills like attention mechanisms, transformers, and embedded C are also prominently featured.
The interview process at Graphcore may vary in length, but candidates should anticipate a series of stages that include initial screenings, technical assessments, and deep-dive interviews. The overall timeline can be extensive, and candidates should be ready for a thorough evaluation process. Following the interviews, feedback and decisions may take some time, given the comprehensive nature of the assessments.
Graphcore places a strong emphasis on Python and Machine Learning Engineering, so proficiency in these areas can significantly enhance your performance in the interviews.
How hard is the Graphcore interview?
Aggregated from 67 interview experiencesAbout 1 in 4 candidates with a known outcome convert.
The interview process, end to end
4 rounds · based on 67 candidate reports- 1Recruiter Screen
An initial conversation to assess your background and motivation. Be prepared to discuss your experience and interest in the role.
- 2Technical Assessment
Involves deeper technical assessments, possibly via HackerRank, to evaluate coding and analytical skills. Practice coding exercises and problem-solving.
- 3Deep-Dive Interviews
Series of interviews covering background, coding abilities, and system design skills. Prepare to discuss technical concepts and solve complex problems.
- 4Final Stage Evaluations
In-depth evaluations to assess your ability to communicate complex ideas to a team. Focus on clear communication and collaborative problem-solving.
What Graphcore actually tests for
How prominent each skill is across reported loopsFind the guide for your role
This is your next step: open the guide for the role you are interviewing for. Each one carries the questions Graphcore interviewers actually ask that position, the loop structure, and pay by level.
What Graphcore pays, by level
Estimated total compensation: base salary plus stock and annual cash bonus.
What separates offers from rejections
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Do this
- Focus on mastering Python and machine learning engineering concepts, as these are heavily emphasized in the interviews.
- Prepare for technical assessments by practicing coding and analytical skills on platforms like HackerRank.
- Demonstrate your ability to communicate complex ideas clearly during interviews, especially in team-based discussions.
- Showcase your problem-solving abilities in technical deep-dive discussions, as these are crucial for success.
Avoid this
- Do not neglect preparation for data structures and algorithms, as these are key components of the technical assessments.
- Avoid underestimating the importance of QA Engineering knowledge if applying for related roles.
- Do not focus solely on coding; ensure you can articulate your thought process and design decisions.
- Avoid being unprepared for live coding exercises or paper discussions, as these are part of the interactive rounds.
Graphcore interview FAQ
Answered from real candidate and workplace dataHow difficult are the interviews at Graphcore?
The difficulty is generally medium to hard, with most candidates reporting a medium level of difficulty. A significant portion also finds the interviews challenging.
What topics should I prioritize in my preparation?
Focus on Python, machine learning engineering, and data structures and algorithms. These areas are heavily tested in the interviews.
What is the offer rate at Graphcore?
The offer rate is approximately 25.4%, indicating a competitive selection process.
Can I reapply if I don't get an offer?
The data does not specify reapplication policies, so it is best to inquire directly with Graphcore's recruitment team.
How long does the interview process take?
The process can be extensive due to multiple stages, including initial screenings, technical assessments, and deep-dive interviews.
Ready for your Graphcore interview?
Practice the exact questions from this guide with AI feedback, and walk into your loop knowing what to expect.