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Graphcore

Delivers IPU-powered AI cloud services

Cloud Platform Intern

Cloud EngineeringConfirmed live in the last 24 hours
Internship · Summer 2027Bristol, UK£14.42 /hr

About the Job

Requirements

  • The candidate must be currently studying toward a degree in Computer Science, Software Engineering, IT, Electronic Engineering, or a related subject.
  • The candidate must have basic Linux and command-line experience, which may come from study, projects, or independent learning.
  • The candidate must have some scripting or programming experience, such as Python, Bash, or a similar language.
  • The candidate should take a methodical approach to investigating technical issues and communicate clearly, show curiosity, learn from feedback, and take responsibility for defined tasks.
  • The candidate must already have the right to work in the UK for the full duration of the programme without requiring visa sponsorship.

Responsibilities

  • Help deploy, test, and monitor services across private and public cloud environments.
  • Write or improve scripts, review metrics and logs, investigate issues, and document findings.
  • Complete clearly scoped tasks with guidance from experienced engineers.
  • Participate in sprint activities, technical reviews, project demonstrations, and practical investigations.
  • Apply Linux systems, scripting, automation, and monitoring in internship tasks.
  • Use technical reviews and project demonstrations to explain findings, learn from feedback, and explore platform engineering.

Desired Qualifications

  • An interest in cloud infrastructure, platform engineering, networking, continuous integration and delivery, monitoring, or computer systems.
  • Previous industry experience is not required; relevant experience may come from coursework, personal or team projects, independent learning, or other activities.

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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