About the role
AI summarisedServe as the national-level expert bridging groundbreaking research with Singapore's new supercomputer system (NSCC). This role supports researchers tackling complex engineering challenges in fields like advanced manufacturing, aerospace, and urban sustainability by optimizing large-scale Computational Fluid Dynamics (CFD) workloads on High-Performance Computing (HPC) systems.
ResearchOnsiteNational Supercomputing Centre
Key Responsibilities
- Provide HPC and scientific domain advice to users of NSCC systems.
- Support and optimize large-scale Computational Fluid Dynamics (CFD) application workloads.
- Collaborate with HPC performance engineers to profile and build performance models of CFD applications and workflows.
- Engage with researchers from diverse disciplines requiring computationally intensive resources.
- Design, develop, and implement HPC software best practices for CFD applications and workflows.
- Assist in planning future HPC systems by benchmarking CFD workloads and recommending architectures.
- Develop HPC utilities and automated testing tools for NSCC HPC systems.
- Develop HPC user and best practice guides for NSCC HPC systems.
Requirements
- Master degree in Engineering, Computer Science, or a relevant field.
- Ideally, 3 years of experience in Computational Fluid Dynamics (CFD) simulations.
- Experience building CFD applications from source code.
- Good knowledge in CFD application performance optimization and troubleshooting.
- Familiarity with CFD applications such as OpenFOAM and Paraview for research.
- Familiarity with the HPC development toolchain and scientific application (CFD) software stack.
- Proficiency with Linux, scripting languages, HPC profiler, and debugger tools.
- Familiarity with HPC job schedulers, OpenMP & MPI, and container technologies.
- Familiarity with HPC storage systems like GPFS and Lustre.