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Supports the design, modelling and evaluation of system-on-chip (SoC) architecture for advanced AI hardware, including performance analysis, simulation and silicon validation.
What you’ll work on
Put your understanding of computer architecture to work on the choices that shape Graphcore’s next generation of AI hardware.
As a Graduate SoC Architecture Engineer, you’ll help specify, model and evaluate complex system-on-chip (SoC) subsystems, with guidance from experienced architects. You’ll explore how product requirements translate into technical options, design trade-offs and validation plans.
Your work will likely include some of: taking responsibility for the architecture of a chip subsystem or function, modelling architectural features, assessing third-party intellectual property (IP) and supporting silicon bring-up. Working across design, verification, hardware and software teams, you’ll help gather the performance evidence that supports architecture decisions.
Your team and support
The Silicon Architecture team sits within the Silicon group. We stand for practical ambition: clear thinking, careful engineering and curiosity that improves real systems.
You’ll work with mentors and experienced architects through design reviews, modelling, simulation, documentation and discussions with neighbouring teams. You’ll take ownership of defined tasks that grow in scope as you develop your skills.
Simulations, performance data and design constraints help guide our decisions. You’ll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your work and speak up when something needs testing, explaining or support.
How you’ll learn and grow
During the two-year programme, you’ll develop your architecture skills through hands-on architectural design + integration, modelling and evaluation of AI acceleration hardware, supported by mentors.
Exploring technical options and running simulations will help you understand how architecture choices affect system behaviour. You’ll learn how to compare trade-offs, document findings and use performance evidence to support a decision.
Design reviews and work across engineering teams will help you connect specifications to implementation and validation. Supporting silicon bring-up will give you experience of how architectural ideas are checked on real hardware, while tasks that grow in scope will build your technical judgement and confidence.
What we’re looking for
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 SoC design, AI 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
You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned.
Exposure to register-transfer level (RTL) design, modelling, simulation, PCIe, Ethernet or DDR would be useful.
These are additional strengths, rather than essential requirements.
Benefits
Flexible working: Balance your work and personal life with greater flexibility
Retirement planning support: Up to 5% matched pension
Phantom equity: Share in Graphcore’s success
Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.
We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.
Sponsorship
Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities.
Introduction to Graphcore
At Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier.
Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together.
How to apply
Apply directly through the company website. Clicking the link below will open the application page in a new window.

Location: Bristol, UK
Industry: Digital & Technology
Graphcore has created a new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence. Our next generation 3D Wafer-on-Wafer Bow IPU systems are helping AI innovators worldwide to build better, more innovative AI solutions, whether their focus is on language and vision, exploring graph neural networks and LSTMs or creating something entirely new. We believe our IPU technology will become the worldwide standard for artificial intelligence compute. The performance of Graphcore’s IPU is going to be transformative across all industries and sectors whether you are a medical researcher, roboticist or building autonomous cars. Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. What we do, really makes a difference. We're always interested in hearing from exceptional people to join our team.
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