2026 Graduate IT Infrastructure Engineer

About the role

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

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