Senior HPC Optimisation Engineer for Climate Modelling

Met Office; Exeter; Hybrid; GBP 55,000 - 65,000; Full time

Benefits offered by this job

Civil Service pension

Market supplement

Annual leave 27.5–32.5 days

Job summary

The Met Office in the United Kingdom is seeking an HPC Optimisation Senior Scientific Software Engineer to develop, support and optimise large-scale climate and weather applications on HPC systems. The role is full time (37 hours per week) with a potential hybrid working pattern.

You will contribute to next-gen modelling and leverage data science (AI/ML) across national capability, collaborating with internal and international teams to deliver impactful results.

Qualifications

• Lead in HPC code optimisation and improving computational performance of large-scale scientific apps.
• Engage with internal and external stakeholders to understand requirements and plan effectively.
• Promote QA practices and standards across projects.
• Mentor peers and share knowledge to improve team outcomes.

Responsibilities

• Analyse and optimise the performance of complex, large-scale scientific applications.
• Design and conduct benchmarks to assess performance on current and future supercomputer hardware.
• Analyse and tune performance of operational workloads with workload teams to remove bottlenecks.
• Apply HPC expertise to diagnose and resolve complex issues and provide guidance to users.
• Develop novel software and methods to improve performance, scalability and portability on HPC architectures.
• Collaborate with scientific/technical colleagues to improve HPC applications.
• Maintain and share expertise in optimisation tools, parallel programming and algorithms.

Skills

HPC code optimisation

Performance analysis tools

Stakeholder engagement

Quality assurance

Mentoring / knowledge sharing

Tools

MPI

Fortran/C++

Linux HPC

Job description

The Met Office in the United Kingdom is seeking an HPC Optimisation Senior Scientific Software Engineer to develop, support and optimise large-scale climate and weather applications on HPC systems. The role is full time (37 hours per week) with a potential hybrid working pattern.

You will contribute to next-gen modelling and leverage data science (AI/ML) across national capability, collaborating with internal and international teams to deliver impactful results.