We encourage you to apply early, as we may close applications before the advertised deadline.
At Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier.
Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together.
Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you’ll be trusted to take ownership, share your ideas and help shape what we’re creating. You’ll tackle challenging problems alongside a team who support your development and are as excited about your success as you are.
Put your technical foundations to work on the cloud platforms that help demanding AI workloads run at scale.
As a Graduate Cloud Platform Engineer, you’ll help develop, deploy and operate services across Graphcore’s high-performance AI infrastructure. Your work will support the systems used by internal teams and Graphcore cloud customers. We believe technology should expand human potential and make progress more accessible.
You’ll write automation, investigate issues, analyse logs and metrics, and help validate AI hardware and the infrastructure around it. It’s a chance to see how Linux, networking, storage and cloud services fit together and contribute to the platforms that make large-scale AI possible.
During the two-year programme, you’ll build practical experience in Linux, cloud technologies, networking, storage, observability, OpenStack , Kubernetes, continuous integration and delivery (CI/CD), and Infrastructure-as-Code.
Hands-on automation and troubleshooting will help you understand how these systems fit together and develop a methodical approach to investigating issues. You’ll learn to use logs and metrics to test your thinking and explain what you find.
Working with engineers, researchers and Datacentre Operations will help you understand how platform decisions affect the people using these services and develop your technical judgement and communication skills.
You’ll be curious about cloud infrastructure, platform engineering or computer systems, with an interest in areas such as networking, storage, containers or observability.
You can demonstrate these skills through coursework, a dissertation, personal or team projects, open-source work, placements or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned.
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.
We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.
Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities.
To apply, answer the application questions and upload your CV and cover letter. We’ll let you know the outcome of your application by early December at the latest. If successful, you’ll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring.
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AI can be a useful tool when preparing your application, but your CV and cover letter should reflect your own experiences, skills and motivations.
