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Graphcore

Delivers IPU-powered AI cloud services

Graduate Cloud Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeBristol, UK£45k /yr

About the Job

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 findings and work with others.
  • An interest in cloud infrastructure, platform engineering or computer systems, including areas such as networking, storage, containers or observability.

Responsibilities

  • Help develop, deploy and operate services across Graphcore’s high-performance AI infrastructure, supporting internal teams and Graphcore cloud customers.
  • Write automation, investigate issues, analyse logs and metrics, and help validate AI hardware and the infrastructure around it.
  • Build practical experience in Linux, cloud technologies, networking, storage, observability, OpenStack, Kubernetes, continuous integration and delivery, and Infrastructure-as-Code.
  • Use hands-on automation and troubleshooting to investigate issues, using logs and metrics to test conclusions and explain findings.
  • Work with engineers, researchers and Datacentre Operations to understand how platform decisions affect service users.

Desired Qualifications

  • Demonstrate relevant skills through coursework, a dissertation, personal or team projects, open-source work, placements or other relevant experience.

About the Company

Graphcore

Delivers IPU-powered AI cloud services

Graphcore.ai focuses on building and delivering Intelligence Processing Units (IPUs) and related AI services for enterprises. It provides IPU-powered cloud services, pre-trained AI models, optimized inference engines, and APIs on a subscription basis with on-demand pricing and free tiers through cloud partners. The IPUs accelerate AI workloads and enable scalable, cost-efficient AI deployment in enterprise applications. The company differentiates itself through specialized IPU hardware and optimized software stack, plus partnerships with cloud providers to reach customers, rather than relying on generic hardware. The goal is to help businesses scale AI-powered products and operations efficiently by offering flexible, scalable compute and ready-to-use AI components.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$1.1B
Headquarters
Bristol, United Kingdom
Founded
2016

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