CFD Solver Developer developing M-Star’s fluid dynamics solver for scientific innovation. Translating academic research into a high-performance software product in computational fluid dynamics.
Responsibilities
develop M-Star’s fluid dynamics solver including maintenance, feature addition, algorithm implementation, and validation
translate academic research in numerical methods into a high-performance, easy-to-use software product
model a wide-range of physics including fluid dynamics, multiphase flows, advection-diffusion, particle mechanics, and heat transfer
implement meshing algorithms and data structures for GPU architectures in a distributed memory environment
work with support engineers and users to tailor software to current needs
perform validation studies and present results at conferences
Requirements
background in numerical methods for transport physics (fluid dynamics, advection-diffusion, particle mechanics, or heat transfer) ideally with a PhD in chemical engineering, mechanical engineering, or physics
expert experience in writing high performance physics codes using parallel computing in shared and distributed memory systems
C++ programming skills
working with lattice Boltzmann methods (LBM) for fluid simulation
knowledge of the discrete element method (DEM) for particle mechanics
specialization in numerical methods for multiphase modelling of liquid-liquid and gas-liquid systems
algorithms for computational geometry including structured/unstructured meshing, 3D search, and mesh refinement
detailed understanding of GPU architectures and CUDA toolkit
MPI programming for multi-GPU code development
familiarity with debugging and profiling tools for CUDA/MPI applications
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