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Graphcore

Delivers IPU-powered AI cloud services

Graduate Silicon Engineer

Hardware Validation & Testing +1Confirmed live in the last 24 hours
Full-time£45k /yrIn-person

About the Job

Requirements

  • Be on track for, or have achieved, a degree in Electronic Engineering, Computer Science, or a related subject such as Physics or Mathematics.
  • Have good coding skills, such as C, C++, or Python.
  • Have an interest in digital design, application-specific integrated circuits, verification, physical design, computer architecture, or AI compute, and motivation to learn modern silicon design techniques and electronic design automation tools.
  • Already have the right to work in the UK for the full duration of the programme without requiring visa sponsorship.

Responsibilities

  • Contribute to real chip development within a specialist Silicon team: logical design, verification, physical design, or design for test.
  • Work on areas depending on team assignment, such as register-transfer-level design, system-on-chip integration, verification methods, physical implementation, or design for test.
  • Use industry-standard electronic design automation tools and take ownership of clear tasks with support from experienced engineers.
  • Develop practical silicon engineering skills and use modern design techniques and electronic design automation tools.
  • Build skills in register-transfer-level design, verification, timing, or physical design, depending on team focus.
  • Apply feedback from reviews and practical problem solving to develop technical judgement and explain the approach taken.

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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