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Graphcore

Delivers IPU-powered AI cloud services

Graduate SoC Architecture Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeBristol, UK£45k /yr

About the Job

Requirements

  • A degree, or expected degree, in Electronic Engineering, Computer Science, or a related field.
  • An understanding of computer architecture or digital systems, with an interest in system-on-chip design, artificial intelligence hardware, or high-performance computing.
  • Programming experience in Python, Rust, C++, or a similar language.
  • Analytical problem-solving skills and clear written and verbal communication, including documenting findings and explaining technical ideas.

Responsibilities

  • Help specify, model, and evaluate complex system-on-chip subsystems, exploring how product requirements translate into technical options, design trade-offs, and validation plans.
  • Take responsibility for the architecture of a chip subsystem or function, model architectural features, assess third-party intellectual property, and support silicon bring-up.
  • Work across design, verification, hardware, and software teams to gather performance evidence supporting architecture decisions.
  • Develop architecture skills through hands-on architectural design and integration, modelling, and evaluation of AI acceleration hardware.
  • Explore technical options and run simulations to understand how architecture choices affect system behaviour; compare trade-offs, document findings, and use performance evidence to support decisions.
  • Participate in design reviews and work across engineering teams to connect specifications to implementation and validation.
  • Support silicon bring-up and take on tasks that grow in scope over the two-year programme.

Desired Qualifications

  • Exposure to register-transfer-level design, modelling, simulation, PCIe, Ethernet, or DDR is useful but not essential.

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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