HPC Domain Specialist (Climate/Weather), Frontier, NSCC

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading research institute in Singapore is seeking a Climate Domain Specialist. This role involves providing high-performance computing (HPC) advice to climate researchers, engaging with the scientific community, and optimizing climate/weather applications. Candidates should hold a Master's degree and have ideally 3 years of experience in climate simulations. Strong problem-solving and communication skills are essential, along with programming expertise in C/C++, Python, or Fortran.

Qualifications

• Ideally, 3 years of experience in climate or weather simulations.
• Experience in building climate/weather applications from source code.
• Familiar with climate/weather applications like UM, WRF.

Responsibilities

• Provide HPC and scientific domain advice to users of NSCC systems.
• Engage with researchers with computationally intensive requirements.
• Support and optimise large-scale climate/weather workloads.

Skills

HPC and scientific domain advice

Climate/weather application performance optimisation

Programming in C/C++, Python, or Fortran

Linux and scripting languages

Problem-solving skills

Effective communication skills

Education

Master's degree in engineering or computer science

Tools

HPC job schedulers

OpenMP & MPI

Container technologies

Job description

ABOUT THE ROLE

Singapore top climate and weather experts are tackling one of the most critical challenges of our time. As our Climate Domain Specialist, you will be their essential partner the computational expert who empowers them to harness the massive power of the new supercomputer for their vital modelling. Your work is the critical link that translates their scientific goals into high-performance simulations, enabling the high-resolution modelling essential for our national climate resilience strategy. This is a rare opportunity to be the go-to HPC specialist for the nations climate research community, making a direct and lasting impact by scaling their work to new frontiers.

RESPONSIBILITIES

• Provide HPC and scientific domain advice to users of NSCC systems.
• Engage and collaborate with new researchers, communities, and disciplines with computationally intensive requirements.
• Support and optimise large-scale climate/weather application workloads.
• Work with HPC performance engineers to profile and build performance models of the climate/weather applications and workflows.
• Design, develop and implement HPC software best practices for climate/weather applications and workflows.
• Assist in the planning and design of future HPC systems, including benchmarking climate/weather workloads on various platforms and recommending the most suitable architecture for the research community.
• Develop HPC utilities and automated testing tools for NSCC HPC systems.
• Develop HPC user and best practice guides for NSCC HPC systems.
• Get up-to-date with scientific domain research development, HPC system and software technology.

QUALIFICATIONS

• Master’s degree in the field of engineering, computer science, or other relevant areas.
• Ideally, 3 years of experience in climate or weather simulations.
• Experience in building climate/weather applications from source code.
• Good knowledge in climate/weather application performance optimisation and troubleshooting.
• Familiar with the working and using of climate/weather applications (e.g. UM, WRF) for research.
• Familiar with HPC development tool chain and scientific application (climate/weather) software stack.
• Familiar with Linux, scripting languages, HPC profiler and debugger tools.
• Familiar with HPC job schedulers, OpenMP & MPI, and container technologies.
• Familiar with HPC storage e.g. GPFS and Lustre.
• Programming skills in C/C++, Python, or Fortran programming are highly desired.
• Demonstrated team player with strong problem-solving skills.
• Demonstrated effective communication skills including the ability to articulate technical concepts to a diverse range of audience.
• Demonstrated ability and willingness to contribute novel ideas and approaches in support of the research community.
• Demonstrated passion for continuous learning and exploring new technologies or domains.