How long does the Graphcore interview process take?

Most candidates spend between 4 and 8 weeks from recruiter screen to offer. The onsite loop itself runs in a single day or is split across two half-days, with debrief and offer typically within 5 business days after.

How should I prepare specifically for Graphcore?

Focus on three things: (1) the company DNA shown above — what they actually grade for, (2) the rounds in your loop, especially the round most candidates underestimate, and (3) drilling on the question types in this guide using a structured framework like CIRCLES or STAR.

Does this apply to engineering or design roles at Graphcore?

The DNA stays the same — what changes is the round mix. SWE candidates face coding screens instead of Product Sense; designers face portfolio reviews and design exercises. The "what they value" and behavioral signals carry across all functions.

Other roles at Graphcore:Product Manager Software Engineer Sales Customer Success Marketing

Growth · Software Engineer Interview Guide

How to Pass the Graphcore Software Engineer Interview in 2026

The Graphcore DNA (TL;DR)

The technical deep-dive rounds at Graphcore heavily assess a candidate's depth in their domain, specifically around novel approaches to AI compute. Interviewers, often senior engineers, probe for original thinking and how one would contribute to the evolution of IPU technology, reflecting the vision of Nigel Toon and Simon Knowles.

The Graphcore Interview Loop

Your onsite loop will typically consist of 5 rounds.

1
Round 1
Recruiter Screen
Motivation, role fit, logistics.
2
Round 2
Coding Screen
LeetCode-medium algorithmic problems under time pressure.
3
Round 3
System Design
Distributed systems, trade-offs at scale, architecture under constraints.
4
Round 4
Onsite Coding
LeetCode-hard, debugging, code clarity, edge cases.
5
Round 5
Behavioral / Leadership
Past evidence of ownership, influence, resolving conflict.

The Danger Zone: Top Reasons Candidates Fail

Based on our database of Graphcore interview outcomes, avoid these common traps:

Using overly simplistic prediction models that don't capture temporal locality.
Failing to handle degenerate matrix cases gracefully.
Proposing a centralized system that cannot scale to the volume of data.
Not demonstrating initiative or a proactive approach to problem-solving.

Test Yourself: Real Graphcore Questions

Three real prompts pulled from our database.

Type · Algorithmic

Implement a function to simulate the execution of a simplified graph computation on a multi-core processor, considering data dependencies and potential deadlocks. Optimize for parallel execution.

Type · Influence

Describe a situation where you had to persuade a skeptical colleague or stakeholder to adopt your point of view or approach. How did you build credibility and influence them?

Type · Code Clarity

Refactor the following snippet of code, which implements a basic parallel reduction operation, to improve its clarity, efficiency, and thread safety for use in a multi-threaded IPU environment.

+ many more questions, signals, and worked examples

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Graphcore Interview Question Bank

A sample from our database, grouped by round. Sign up to see the full set.

10 of 21 questions shown

Recruiter Screen

1
Type · Motivation
What specifically interests you about Graphcore's approach to AI hardware and the challenges of developing IPUs?
2
Type · Logistics
Describe your experience with C++ and Python, and how you've used them in previous roles, particularly in performance-critical applications.

Coding Screen

3
Type · Algorithmic
Given a large dataset of processor performance counters for IPU operations, write a function to efficiently find the top K most frequent counter patterns. Assume the dataset is too large to fit into memory.
4
Type · Algorithmic
You are given a stream of data representing memory access requests to different tiles on an IPU. Design an algorithm to predict the next likely memory access based on recent access patterns, optimizing for cache hit rate.
+ 1 more questions in this round (sign up to unlock)

System Design

5
Type · Distributed Systems
Design a distributed system for managing and scheduling large-scale AI model training jobs across a cluster of Graphcore IPUs. Consider fault tolerance, load balancing, and efficient resource utilization.
6
Type · Architecture
How would you design a system to collect and analyze telemetry data from thousands of IPUs in real-time to detect performance anomalies or potential hardware issues? Discuss the trade-offs between data granularity, storage, and processing latency.
+ 1 more questions in this round (sign up to unlock)

Onsite Coding

7
Type · Debugging
A customer reports intermittent incorrect results from a deep learning model running on our IPUs. The issue only appears under specific input data conditions and at high utilization. How would you approach debugging this problem?
8
Type · Edge Cases
Write a function to perform matrix multiplication on the IPU, considering potential numerical precision issues and edge cases like matrices with zero dimensions or non-standard data types.
+ 1 more questions in this round (sign up to unlock)

Behavioral / Leadership

9
Type · Past Experience
Tell me about a time you had to influence a team or stakeholders who were resistant to your product idea or direction. What was the situation, what steps did you take, and what was the outcome?
10
Type · Ownership & Initiative
Tell me about a time you took initiative to solve a problem or improve a process that was outside your direct responsibilities. What was the situation, what did you do, and what was the result?
+ 8 more questions in this round (sign up to unlock)