Graduate Software Engineer, Accelerator Modelling 2027

Join Graphcore in a permanent role and start your career with two years of hands-on learning through the Graduate Programme. You will model future AI accelerators using C++, help predict performance, power and scalability, and work in a small team alongside architects, hardware and software engineers, with a buddy system for support.

Responsibilities

Develop, test and refine models and simulations for next-generation AI accelerators; Help predict performance, power consumption and scalability to give engineers evidence before hardware decisions are made; Investigate how complex workloads behave; Contribute to planning, design, implementation and testing; Help other teams integrate future hardware versions; Help scale distributed modelling environments

Requirements

Bachelor's/Master's degree, or equivalent experience, in Computer Science, Maths, Machine Learning, Data Science or a related field; Strong C++ programming skills, gained through study, projects, personal coding or practical experience; An understanding of computer science fundamentals and an interest in lower-level software; The ability to debug complex problems and explain your thinking clearly, with exposure to debugging tools, performance analysis, testing, version control or collaborative software development practices; Curiosity about processor architecture, hardware simulation, performance modelling or systems behaviour, and a willingness to ask questions and learn through feedback; Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship

Benefits

Flexible working; Up to 5% matched pension; Phantom equity; Office spaces with free food and an on-site barista; Income protection and life assurance; Electric Vehicle Scheme through salary sacrifice; Flexible benefits 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