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HPC Domain Specialist (Engineering, CFD), Frontier, NSCC

Agency for Science, Technology and Research (A*STAR)

Singapore

On-site

SGD 60,000 - 90,000

Full time

Today
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Job summary

A leading research institution in Singapore is seeking a CFD Domain Specialist to be the bridge between groundbreaking research and the new supercomputer system. You will support advanced manufacturing, aerospace, and urban sustainability by optimizing complex engineering solutions and collaborating with researchers. The ideal candidate has a Master's in engineering or computer science, strong CFD expertise, and excellent communication skills.

Qualifications

  • 3 years of experience in CFD simulations preferred.
  • Experience in building CFD applications from source code.
  • Strong problem-solving skills and team player.
  • Effective communication skills to diverse audiences.
  • Passion for continuous learning and new technologies.

Responsibilities

  • Provide HPC and scientific domain advice to users.
  • Support large-scale CFD application workloads.
  • Collaborate with researchers and communities.
  • Implement HPC software best practices for CFD.
  • Plan future HPC systems and recommend architectures.

Skills

Computational Fluid Dynamics (CFD)
C/C++ programming
Python programming
Performance optimization
Linux
Scripting languages
OpenMP & MPI
Container technologies

Education

Master’s degree in engineering or computer science

Tools

OpenFOAM
Paraview
HPC profilers and debuggers
GPFS
Lustre
Job description
ABOUT THE ROLE

Be the bridge between groundbreaking research and Singapore new supercomputer system. As our CFD Domain Specialist, you will be the national-level expert enabling key sectors like advanced manufacturing, aerospace, and urban sustainability. Your work will directly support researchers as they tackle Singapore most complex engineering challenges from designing more efficient industrial systems to modelling complex urban airflow. This is a unique role to be at the centre of the nation CFD research community, working at a scale that pushes the boundaries of the field.

RESPONSIBILITIES
  • Provide HPC and scientific domain advice to users of NSCC systems.
  • Support and optimise large-scale Computational Fluid Dynamics (CFD) application workloads.
  • Work with HPC performance engineers to profile and build performance models of the CFD applications and workflows.
  • Engage and collaborate with new researchers, communities, and disciplines with computationally intensive requirements.
  • Design, develop and implement HPC software best practices for CFD applications and workflows.
  • Assist in the planning and design of future HPC systems, including benchmarking CFD workloads on various platforms and recommending the most suitable architecturemfor 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 Computational Fluid Dynamics (CFD) simulations.
  • Experience in building CFD applications from source code.
  • Good knowledge in CFD application performance optimisation and troubleshooting.
  • Familiar with the working and using of CFD applications (e.g. OpenFOAM, Paraview) for research.
  • Familiar with HPC development toolchain and scientific application (CFD) 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.
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