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Graphcore

Delivers IPU-powered AI cloud services

UX Design Intern

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

About the Job

Requirements

  • Currently studying toward a degree in UX, Interaction Design, Graphic Design, Computer Science, or a related subject.
  • Basic experience using design tools such as Figma or Adobe XD.
  • A strong interest in UX/UI design and user-centred design principles, with a portfolio of coursework or personal projects provided as a PDF or link.
  • Clear communication, curiosity, and willingness to learn from feedback.
  • Previous industry experience is not required.

Responsibilities

  • Create sketches, wireframes, and interface designs for software that helps users understand, optimise, and debug workloads running on Graphcore hardware.
  • Support usability research and help turn findings into insights that inform design decisions.
  • Create and refine components for Decagon, the design library, with guidance from the team.
  • Join sprint activities, design reviews, and research with engineers throughout software development.
  • Explore how user-centred design principles apply to a technical product; use research, usability work, sketches, wireframes, and interface designs to understand users’ needs and test and communicate design thinking.
  • Work on reusable components in Decagon and develop judgement about useful design and UX career interests.

Desired Qualifications

  • Exposure to technical products, user research, or Agile working.

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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