Experteer Overview
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In this role you contribute to M-Star, a GPU-native CFD solver, translating academic numerical methods into a high-performance software product. You will help advance solver architecture, algorithms, GPU acceleration, and multiphysics model implementations. You will model fluid dynamics, multiphase flows, particle mechanics, and heat transfer, while interfacing with users and support engineers to tailor the tool to real-world needs. Your work fuels reliable, scalable simulations across industrial applications.
Compensaciones / Beneficios
• Develop and maintain M-Star’s fluid dynamics solver, add features, implement algorithms, and validate results
• Translate academic numerical methods into a robust software product
• Model physics including fluid dynamics, multiphase flows, advection-diffusion, particle mechanics, and heat transfer
• Implement meshing algorithms and data structures optimized for GPU architectures in distributed memory environments
• Collaborate with support engineers and users to adapt the software to current needs
• Perform validation studies and present findings at conferences
Responsabilidades
• Background in numerical methods for transport physics (fluid dynamics, advection-diffusion, particle mechanics, or heat transfer)
• Experience writing high-performance physics codes with parallel computing in shared and distributed memory systems
• Expertise with Lattice Boltzmann Methods (LBM) for fluid xpzdshu simulation
• Knowledge of the Discrete Element Method (DEM) for particle mechanics
• Specialization in numerical methods for multiphase modeling of liquid-liquid and gas-liquid systems
• Algorithms for computational geometry including structured/unstructured meshing, 3D search, and mesh refinement
• Understanding of GPU architectures and CUDA toolkit
• MPI programming for multi-GPU code development
• Experience on large multiphysics solvers
Requisitos principales
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