Deep Specialist HPC Computational Engineer

UK Atomic Energy Authority; Waverley; On-site; GBP 70,000 - 88,000; Full time

Benefits offered by this job

Final salary pension

Bonus up to 7%

Flexible working

25 days annual leave

Job summary

UK Atomic Energy Authority (UKAEA) is seeking a Deep Specialist HPC Computational Engineer in the Computing Division. You will lead development and maintenance of software for computational nuclear and multi-physics applications, driving research, funding and adoption of emerging technologies.

You will manage projects and resources, lead international collaborations, supervise teams of 4–10, and present research at conferences with high publication output.

Qualifications

• Doctorate or equivalent in computational/scientific field with strong publication record or software contributions.
• Significant experience with HPC systems and at least one compiled language (C++, Fortran, C, Rust) or scripting language (Julia, R, Swift Parallel Scripting).
• Experience leading distributed teams in mentoring/managing roles.
• International reputation in computational engineering; strong math foundation with numerical analysis.
• Experience with verification/validation testing and evaluating new algorithms for fusion codes.
• Proven ability to review and approve contributions to large-scale software projects or journals.

Responsibilities

• Plan and lead technical contributions to modelling, simulation and uncertainty quantification for UKAEA programmes.
• Review and approve technical output of teams (4–10 people).
• Oversee development of state-of-the-art software suites meeting quality standards.
• Design strategy for development and deployment on new computing architectures.
• Present research at conferences and publish high-quality papers.
• Collaborate with national/international partners on codes for peta- to exa-scale systems.
• Lead proposals and consortia for new research funding.
• Lead international projects and grow UKAEA research at the cutting edge.
• Conduct own research into novel numerical methods with applicability to fusion and beyond.
• Provide training and technical guidance across divisions.

Skills

C++

Fortran

HPC

Leadership

Numerical analysis

Distributed team leadership

Education

PhD

Tools

MPI

CUDA

OpenMP

Git

Job description

Deep Specialist HPC Computational Engineer

• Full-time
• Salary: £71,815 (inclusive of Specialist Allowance) + excellent benefits including outstanding pension
• Division: Computing
• Position Grade: Grade I
• Department: Computational Materials and Engineering

About us

Fusion, the process that powers the sun and stars, is one of the most promising options for generating the cleaner, carbon-free energy that our worldbadly needs. UKAEA leads the way in realizing fusion energy, partnering with industryand research organisations to achieveground-breaking advancements. Our goal is to bring fusion electricity to the gridby developing the power stations of tomorrow and the skilled workforce to deliver them.

About the job

The Computational Materials and Engineering (CME) Unit within UKAEA’s Computing Division delivers research, development and technical support across high-performance computing, engineering and scientific computing, AI, machine learning and advanced simulation technologies for the fusion programme. In this role, you will lead the development and maintenance of software capabilities supporting computational nuclear and multiphysics applications, while driving research, collaboration, funding and adoption of emerging technologies. You will provide technical and strategic leadership, manage projects and resources, represent UKAEA nationally and internationally, and help shape future research directions while developing expertise and collaborations across the Authority.

What You’ll Be Doing

Plan and lead technical contributions to workstreams in modelling, simulation and uncertainty quantification activities for UKAEA programmes

Review and provide approvals for the technical output of teams of 4-10 people

Oversee development of state-of-the-art software suites, ensuring adherence to established quality standards

Design technical strategy for development for, deployment on, and evaluation of new and emerging computing architectures

Produce consistently high levels of high‑impact output. Present research at conferences including regular oral or invited conference presentations, high quantity and quality of publications, generally two to three first author journal papers per year

Collaborate with national and international partners on developing and evolving codes to exploit peta- and exa‑scale systems

Actively seek new research and funding opportunities, leading proposals. When successful implement new programmes supported by funds outside UKAEA, leading consortia

Lead international projects, develop new collaborations, and maintain and grow our research at the international cutting edge

Perform your own research into novel numerical methods and algorithms with applicability within fusion and beyond

Act as a source of advice to other divisions and programmes. Support wider skills development, providing training across the organisation relating to specialism

What You’ll Bring

At least a doctorate degree (or equivalent qualification)in a computational, mathematical or physical science discipline with a strong publication track record or contribution to relevant software library (or equivalent experience in either a commercial or research environment)

Significant demonstrable experience using high-performance computing systems and of at least one compiled level language (e.g. C++, Fortran, C, Rust) or advanced scripting language (Julia, R, Swift Parallel Scripting), as evidenced through contributions to software packages

Experience in working in and leading a distributed team in both mentoring and managing roles, either as a project or technical manager

Significant demonstrable experience and international reputation in one or more relevant computational engineering fields. Solid foundation in mathematics, especially numerical analysis, demonstrated by extensive publication records or contributions to relevant software libraries

Experience of the development and implementation of testing strategies (verification and validation) and an ability to assess new algorithms which could be applicable to fusion based codes

Demonstrable significant experience in performing technical review and approval of contributions to large-scale software projects or journals

UKAEA is an onsite organisation, and this role requires regular onsite presence (usually between 3-5 days in any given week) in line with business needs. We actively support flexible working arrangements where this is compatible with the role.

The role is currently advertised at Rotherham, but other UKAEA locations may also be considered.

We have a generous range of benefits (see the full list here ) and highlights include:

• A salary of£71,815(inclusiveof a£7,700 specialist allowance)
• Up to 7% corporate performance bonus
• Final salary defined benefits pension scheme with an equivalent of21.5% employer pension contribution
• 25 days annual leave plus2.5 'privilege' days;8 Bank Holidays
• Additional 3 days of site closure over Christmas break
• Flexible working options plus family-friendly leave provisions

Our commitment to ED&I

UKAEA's mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity,inclusionand accessibility, and strive to ensure fair representation across our workforce.

Please email [e-mail] if you have any questions or require adjustments to help youparticipatefairly in our recruitment process, for example changes to the way we interview or share information. As a Disability Confident Employer, we are committed to providing an inclusive and accessible recruitment experience for all candidates.

We particularly encourage applications from groups currently underrepresented in STEM, including women and people from diverse ethnic backgrounds. All appointments are made onmeritand further information can be found here .