Graduate Cloud Platform Engineer 2027

Description

Start date: September 2027

Application deadline : Midnight, 29th November 2026

We encourage you to apply early, as we may close applications before the advertised deadline.

The Graduate Programme at Graphcore

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.

What you’ll work on

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.

How you’ll learn and grow

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.

Requirements

• A bachelor’s degree in Computer Science, Software Engineering, IT, Electronic Engineering or a related subject, completed by summer 2027 or within the two years before the programme starts
• Practical experience using the Linux command line, with scripting or programming skills such as Python or Bash
• Familiarity with Git or another version-control system, with a clear approach to documentation and code review
• A methodical approach to troubleshooting and the ability to communicate your findings and work with others
• 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.

Conditions

Start date: September 2027

Application deadline : Midnight, 29th November 2026

We encourage you to apply early, as we may close applications before the advertised deadline.

The Graduate Programme at Graphcore

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.

What you’ll work on

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.

How you’ll learn and grow

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.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore’s success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn
• 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.
• Sponsorship
• 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.
• Introduction to Graphcore
• 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.
• How to apply and what to expect
• To apply, answer the application questions below 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.
• Ready to put your learning into practice? Start your career in a permanent Cloud Platform Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next.