2026 Graduate IT Infrastructure Engineer

Maths, Computer Science, ML, Data, IT, Software.

About us

At Graphcore, we’re building the future of AI compute. 

The sky's the limit: working at Graphcore
Machine Learning Team Lead Alex Titterton takes a tour of Graphcore HQ and discusses why the sky's the limit for anyone joining the Graphcore team.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

The Team

Graphcore is seeking a motivated and curious Graduate IT Infrastructure Engineer to join our Infrastructure Solutions team. This is an exciting opportunity to develop deep technical expertise while supporting the systems that power next-generation AI workloads across the business.

The Infrastructure Solutions team designs, builds, and supports the IT environments that enable our engineers to innovate at scale. We work across on-premise infrastructure, cloud platforms, networking, automation, and security — ensuring performance, resilience, and reliability throughout the organisation.

As a graduate, you’ll gain exposure to enterprise-scale infrastructure and cutting-edge AI hardware environments while learning from experienced engineers.

Responsibilities and Duties

  • Supporting and maintaining internal IT infrastructure (servers, storage, networking, virtualisation)
  • Assisting with cloud platform operations (e.g. AWS, Azure, GCP)
  • Contributing to automation and infrastructure-as-code initiatives
  • Helping monitor system performance, reliability, and security
  • Troubleshooting technical issues and supporting root cause analysis
  • Working collaboratively across engineering and IT teams
  • Participating in infrastructure improvement projects

You’ll be supported with structured learning, mentorship, and increasing responsibility as your skills develop.

Candidate Profile

  • Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field.
  • Passionate about infrastructure, cloud technologies, and systems engineering
  • Familiar with some of the following (through study, projects, or internships):Linux or Windows server environments
  • Networking fundamentals (TCP/IP, DNS, routing, firewalls)
  • Cloud platforms (AWS/Azure/GCP)
  • Scripting (Python, Bash, PowerShell)
  • Virtualisation or containerisation (VMware, Docker, Kubernetes)
  • Analytical, methodical, and eager to learn
  • Strong communicators who enjoy problem-solving in a team environment

We don’t expect you to know everything — we value curiosity, initiative, and a willingness to learn.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar!

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

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Shortlisted
  • Deadline
    Ongoing
  • Salary
    Competitive + benefits
  • Degree required
    Bachelor's or Master's
  • Location
    Bristol
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Disciplines Accepted...
  • AI/Machine Learning
  • Computer Science
  • Data Science
  • Information Technology
  • Maths
  • Software/Systems

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