Senior HPC Optimisation Engineer for Climate & Weather

Met Office; Devon and Torbay; Hybrid; GBP 59,000 - 72,000; Full time

Job summary

Met Office is seeking an exceptional HPC Optimisation Senior Scientific Software Engineer to help advance climate and weather modelling. The role involves developing, supporting, and optimising large-scale parallel applications on HPC systems, contributing to Next Generation Modelling Systems, and expanding data science adoption.

This is a full-time, 37-hour week role with hybrid working. You will collaborate across teams, drive performance benchmarks, and share expertise to improve scalability

Qualifications

• Lead Criteria: Demonstrate insight in High-Performance Computing Code Optimisation through improvements in computational performance of large-scale scientific applications.
• Engage effectively with internal and external stakeholders to understand requirements and inform wider strategic planning.
• Promote good Quality Assurance processes, best practice, standards and regulations in your work.
• Communicate knowledge clearly to diverse audiences, building trust and credibility.
• Develop your technical skills and mentor others to improve 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 operational workloads to address bottlenecks.
• Provide guidance on HPC issues and assist users and colleagues.
• Develop tools and methods to improve performance, scalability, and portability of applications.

Skills

HPC optimisation

Stakeholder engagement

Quality assurance

Effective communication

Job description

Met Office is seeking an exceptional HPC Optimisation Senior Scientific Software Engineer to help advance climate and weather modelling. The role involves developing, supporting, and optimising large-scale parallel applications on HPC systems, contributing to Next Generation Modelling Systems, and expanding data science adoption.

This is a full-time, 37-hour week role with hybrid working. You will collaborate across teams, drive performance benchmarks, and share expertise to improve scalability