IHPC - Performance portability of CFD codes Traineeship [GRIT@Gov]

Job Description:

What the role is

As a Trainee at the Institute of High Performance Computing (IHPC), you will contribute to improving the performance and portability of Computational Fluid Dynamics (CFD) codes across different high-performance computing (HPC) architectures.

What will you be working on

Understand some of the existing implementation of CPU-based CFD codes and help refactor these codes to utilize GPU accelerators.

What we are looking for

Job Requirements

* B.S. in CS/ME/Aero (or similar) with strong programming fundamentals.
* Solid experience in C/C++, data structures, and debugging on Linux.
* Coursework or experience in numerical methods / linear algebra (e.g., PDE discretization, iterative solvers).
* Intro to parallel programming: OpenMP, basic CUDA/HIP/SYCL or a clear self-driven project showing GPU curiosity.

Learning and Development Focus

* GPU programming models & portability layers: Practical fluency in some higher-level portability frameworks like Kokkos or RAJA.
* Profiling & optimization: Using Nsight, rocprof, VTune/perf to find computational bottleneck.
* MPI+X scaling: Single- and multi-GPU runs, overlapping communication/computation.
* Software engineering for HPC in the context of CFD.

About your application process

This job is closing on 11 Nov 2025.

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and apply for other roles within A*STAR or the wider Public Service