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Graphcore

Delivers IPU-powered AI cloud services

Manufacturing Operations Intern

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

About the Job

Requirements

  • Candidates must currently be studying toward a degree in Mechanical Engineering, Electrical Engineering, Physics, or a related field.
  • Candidates must have a basic understanding of semiconductor or electronics design and manufacturing principles, gained through study, projects, or practical work.
  • Candidates should be interested in taking new designs into production and addressing the challenges of successful high-volume manufacturing.
  • Candidates must be able to analyse data, approach problems methodically, and explain their findings clearly.
  • Previous industry experience is not required; relevant examples may come from coursework, laboratory work, personal or team projects, or other experience.
  • Applicants must already have the right to work in the UK for the full programme without requiring visa sponsorship.

Responsibilities

  • Contribute to a defined project or set of tasks supporting silicon packaging or printed circuit board assembly production in Taiwan.
  • Depending on the project, analyse performance data, help investigate hardware or software issues, or support quality planning and process checks.
  • Help review component information or bills of materials as needed.
  • Help the team understand manufacturing performance and identify improvements to quality, cost, or delivery.
  • Work with manufacturing data and practical investigations to connect academic studies with production challenges.
  • Compare approaches, organise work, explain findings, and use feedback to improve work.

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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