Hybrid HPC Optimisation Scientist for Climate & Weather

Met Office; Devon and Torbay; Hybrid; GBP 30,000 - 44,000; Full time

Benefits offered by this job

Civil Service pension

Market supplement: RRA £2,000 p.a.

Annual leave 27.5–32.5 days + bank hol

Job summary

The Met Office is recruiting an HPC Optimisation Foundation Scientific Software Engineer to advance large-scale climate and weather applications on HPC systems. The role supports the development of next-generation modelling and data science adoption, with opportunities for progression within the SSE career family.

We value collaboration across internal and international teams, and we welcome candidates who can contribute to performance optimisation, tooling, and knowledge sharing while aligning

Qualifications

• Lead with a focus on computational performance in scientific software development.
• Engage stakeholders to understand requirements and context.
• Apply QA processes, standards, and regulations in delivery.
• Communicate complex concepts clearly to diverse audiences.
• Develop skills and support others, with a commitment to continual learning.

Responsibilities

• Analyse and optimise the performance of scientific applications.
• Benchmark scientific applications on current and future supercomputer hardware.
• Develop software, tools and methods to improve performance, scalability and portability of large-scale applications on HPC architectures.
• Collaborate with scientific and technical colleagues to improve HPC applications.
• Share knowledge of optimisation tools, parallel programming techniques and future supercomputer capabilities.

Skills

Software performance

Parallel computing

Stakeholder engagement

Quality assurance

Job description

The Met Office is recruiting an HPC Optimisation Foundation Scientific Software Engineer to advance large-scale climate and weather applications on HPC systems. The role supports the development of next-generation modelling and data science adoption, with opportunities for progression within the SSE career family.

We value collaboration across internal and international teams, and we welcome candidates who can contribute to performance optimisation, tooling, and knowledge sharing while aligning