Overview
Experteer Overview In this role you contribute to the M-Star CFD solver, delivering high-fidelity, GPU-accelerated multiphysics simulations for industrial processes. You work within a small, expert team to translate advanced numerical methods into a usable software product. You will tackle fluid dynamics, multiphase flows, and particle mechanics, shaping solver architecture and validation efforts. The role blends research with engineering impact, offering collaboration with users and support engineers to ensure rigor and practicality.
Responsibilities
Expertise with Lattice Boltzmann Methods (LBM) for fluid simulation
Background in numerical methods for transport physics (fluids, advection-diffusion, particle mechanics, or heat transfer)
High-performance physics codes with parallel computing in shared and distributed memory systems
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 meshing, 3D search, and mesh refinement
Deep understanding of GPU architectures and CUDA toolkit
MPI programming for multi-GPU code development
Experience on a large multiphysics solver
Qualifications
hybrid by default
health and wellness benefits
global mobility opportunities
merit-based advancement
flexible work arrangements
employment stability
Benefits
Develop and maintain the fluid dynamics solver for M-Star, add features, implement algorithms and validate results
Translate academic numerical methods into a high-performance 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
Collaborate with support engineers and users to tailor the software to current needs
Conduct validation studies and present results at conferences
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or continue with email
Experteer Overview In this role you contribute to the M-Star CFD solver, delivering high-fidelity, GPU-accelerated multiphysics simulations for industrial processes. You work within a small, expert team to translate advanced numerical methods into a usable software product. You will tackle fluid dynamics, multiphase flows, and particle mechanics, shaping solver architecture and validation efforts. The role blends research with engineering impact, offering collaboration with users and support engineers to ensure rigor and practicality.
Responsibilities
Expertise with Lattice Boltzmann Methods (LBM) for fluid simulation
Background in numerical methods for transport physics (fluids, advection-diffusion, particle mechanics, or heat transfer)
High-performance physics codes with parallel computing in shared and distributed memory systems
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 meshing, 3D search, and mesh refinement
Deep understanding of GPU architectures and CUDA toolkit
MPI programming for multi-GPU code development
Experience on a large multiphysics solver
Qualifications
hybrid by default
health and wellness benefits
global mobility opportunities
merit-based advancement
flexible work arrangements
employment stability
Benefits
Develop and maintain the fluid dynamics solver for M-Star, add features, implement algorithms and validate results
Translate academic numerical methods into a high-performance 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
Collaborate with support engineers and users to tailor the software to current needs
Conduct validation studies and present results at conferences
#J-18808-Ljbffr
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