Graduate HPC Software Engineer – Fusion R&D

UK Atomic Energy Authority; Abingdon; Hybrid; GBP 30,000 - 36,000; Full time

Benefits offered by this job

Pension scheme

Annual leave 25 days

Flexible working

Skern Lodge residential

Job summary

UK Atomic Energy Authority's Graduate Development Programme offers hands-on experience alongside world-leading experts in fusion research. You'll contribute to software, algorithms and workflows for HPC/HTC environments and gain exposure to cutting-edge computing technologies.

You'll develop technical, professional and leadership skills through a structured, 20/80 split between development and role-based experiences, with mentoring and cross-project collaboration across academia and industry.

Qualifications

• Degree in Computer Science, Mathematics, Physics or Engineering (2025–2027).
• Driven with a strong appetite to learn and take on new challenges.
• Able to collaborate and communicate clearly to technical and non-technical audiences.
• Well organised with ability to plan and prioritise workload.

Responsibilities

• Develop software, algorithms and scientific workflows for HPC and HTC environments, enabling fusion research and simulation capabilities.
• Build computational tools and software solutions to tackle complex engineering and scientific challenges for future fusion technologies.
• Gain hands‑on experience in software development, data analysis and emerging technologies, including AI, machine learning and advanced computing, while collaborating with experts across UKAEA, academia and industry.

Skills

Driven

Collaborate effectively

Well organized

Education

Degree in Computer Science, Mathematics, Physics or Engineering

Job description

UK Atomic Energy Authority's Graduate Development Programme offers hands-on experience alongside world-leading experts in fusion research. You'll contribute to software, algorithms and workflows for HPC/HTC environments and gain exposure to cutting-edge computing technologies.

You'll develop technical, professional and leadership skills through a structured, 20/80 split between development and role-based experiences, with mentoring and cross-project collaboration across academia and industry.