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Graphcore

Delivers IPU-powered AI cloud services

Graduate Infrastructure Solutions Engineer

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

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Mathematics, Machine Learning, Data Science, or a related field.
  • Familiarity with Linux or Windows server environments.
  • Understanding of networking fundamentals such as TCP/IP, DNS, routing, or firewalls.
  • Introductory scripting experience with Python, Bash, or PowerShell.
  • An interest in infrastructure, cloud technologies, systems engineering, or platform operations, and motivation to learn through practical problem solving.
  • Demonstrable relevant skills through coursework, a dissertation, personal or team projects, internships, hobbies, or other experience.

Responsibilities

  • Support infrastructure operations, investigate technical issues, and contribute to projects that improve reliability, performance, and security.
  • Work across servers, storage, networking, cloud platforms, automation, and monitoring.
  • Rotate through Infrastructure Solutions teams, including Cloud and Application Security, Cybersecurity Operations, Networking, and Data Centre Operations.
  • Work on real operational issues and improvement projects during the two-year programme.
  • Use scripting, automation, and infrastructure as code to improve infrastructure management.
  • Assess reliability, performance, and security trade-offs, explain technical approaches, and understand how infrastructure decisions affect service users.

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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