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Help design and evaluate next-generation AI chip architectures by contributing to SoC modelling, simulation, performance analysis, and hardware specification development.
About the job
Start your architecture career helping shape the AI chips of the future. As a 2026 Graduate SoC Architecture Engineer, you will help define, model and evaluate complex sub-systems for Graphcore’s next-generation AI acceleration hardware.
You will discover how product requirements become architectural choices, develop trade-offs and silicon-ready specifications. Your work will support high-performance, highly integrated SoC designs used in advanced AI compute.
You will contribute to specifications, modelling, simulation, validation and technical analysis. You may also support IP evaluation, silicon bring-up, testing and performance investigations.
You do not need to arrive as an expert. We are looking for graduates with strong fundamentals, curiosity and the aim to learn from real architecture work.
The Team & Culture
The Silicon Architecture team defines how critical SoC sub-systems behave, connect and perform. The team works closely with silicon design, verification, hardware and software engineers.
Work happens through technical discussion, modelling, documentation, review and careful evaluation of design choices. You will learn from experienced architects while taking ownership of well-scoped tasks early.
Decisions are shaped by evidence, system impact and clear engineering judgement. Graduates are encouraged to ask questions, test assumptions and communicate ideas clearly.
What we’re looking for
Degree or equivalent experience, in Electronic Engineering, Computer Science or a related field
Understanding of computer architecture or digital systems, gained through study, projects or internships
Programming experience in Python, Rust, C++ or a similar language
Exposure to hardware design concepts (e.g. RTL, Verilog, or VHDL)
Experience with modelling, simulation, or performance analysis
Interest in AI, machine learning, or high-performance computing
Familiarity with interfaces such as PCIe, Ethernet, or memory systems (e.g. DDR)
Interest in SoC design, AI hardware, high-performance computing or system-level architecture
Analytical thinking, clear communication and the ability to explain technical work
Curiosity, ownership and motivation to grow through feedback and practical engineering experience
Benefits
Flexible working:Balance your work and personal life with greater flexibility
Generous leave: Take time to rest, recharge and enjoy life outside of work
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
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
Sponsorship
Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.
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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