Hybrid HPC Optimisation Scientist for Climate Modelling

Met Office; Exeter; Hybrid; GBP 36,000 - 53,000; Full time

Benefits offered by this job

Civil Service pension

RRA market supplement

Annual leave 27.5–32.5 days

Hybrid work flexibility

Job summary

The Met Office seeks an HPC Optimisation Scientific Software Engineer to advance large-scale climate and weather applications on HPC systems.

Hybrid working is supported; the role offers development, collaboration across teams, and opportunity to contribute to Next Generation Modelling Systems.

Closing date 22/11/2026 with interviews from 07/12/2026; UK residence and security clearance are required for this role.

Qualifications

• Demonstrated HPC software development experience delivering new capabilities for distributed or shared-memory scientific applications.
• Ability to engage with stakeholders to understand requirements and plan work.
• Apply QA processes and standards across all work to meet defined quality levels.
• Strong written and verbal communication across diverse audiences.
• Proactively develop skills and support others to improve outcomes.

Responsibilities

• Analyse and optimise performance of large-scale scientific apps.
• Benchmark apps on current and future HPC hardware.
• Support analysis and tuning of operational workloads on the supercomputer.
• Assist users in diagnosing and resolving HPC performance issues.
• Develop novel software, tools and methods to improve performance and portability.
• Collaborate with scientific and technical colleagues to improve HPC apps.
• Maintain and share expertise in optimisation tools, parallel programming techniques and supercomputer capabilities.

Skills

HPC software development

Distributed/shared-memory parallelism

Stakeholder engagement

Quality Assurance

Communication

Team collaboration

Job description

The Met Office seeks an HPC Optimisation Scientific Software Engineer to advance large-scale climate and weather applications on HPC systems.

Hybrid working is supported; the role offers development, collaboration across teams, and opportunity to contribute to Next Generation Modelling Systems.

Closing date 22/11/2026 with interviews from 07/12/2026; UK residence and security clearance are required for this role.