Hpc Performance Engineer

Agency for Science, Technology and Research – Queenstown

Join the team responsible for Singapore's new supercomputer.

As our HPC Performance Engineer, you are the "engine tuner" for the entire national facility.

Your work will ensure that this multi-million-dollar investment runs at peak performance and efficiency for all of Singapore's key research domains from AI to climate and material science.

This is a unique opportunity to tackle diverse performance challenges at a massive scale, profile applications of national importance, and directly influence the design of future national HPC systems.

RESPONSIBILITIES

Conduct performance engineering to large-scale HPC system and application workloads, optimising both the performance and energy efficiency.

Profile and build performance models of the user applications, workflow and scientific software stacks.

Design, develop and implement HPC software best practices and scalable software infrastructure.

Provide HPC and scientific domain advice to users of NSCC systems.

Engage and collaborate with new researchers, communities, and disciplines with computationally intensive requirements.

Assist in the planning and design of future HPC systems, including benchmarking NSCC workloads on various platforms and recommending the most suitable architecture for the research community.

Analyse system and user job data for efficient resource allocation and management.

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

Bachelor's degree in the field of computer science, computer engineering, or other relevant areas.

Ideally, 3 years of experience in parallel programming or performance optimisation.

Experience with development toolchain and scientific application software stack for building HPC software is essential; knowledge in using Spack or EasyBuild is a plus.

Strong programming skills in C / C++, and Python; familiar with Fortran programming is a plus.

Familiar with parallel and / or GPU programming is highly desired.

Familiar with Linux environment, 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.

Familiar with the design & development of multi-core CPU and GPU.

Demonstrated team player with strong problem-solving skills.

Demonstrated effective communication skills including the ability to articulate technical concepts to a diverse range of audiences.

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.

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