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# CFD Solver Developer (LBM)

- **Company:** Siemens Plc
- **Location:** Sheffield, UK
- **Contract:** Permanent contract
- **Skills:** Computational Fluid Dynamics, Nvidia CUDA, Computer Programming, Computational Geometry, Parallel Computation, Stable Diffusion
- **Published:** August 11, 2026
- **Apply:** https://eu.experteer.com/career/view-jobs/cfd-solver-developer-lbm-sheffield-grossbritannien-58877238

## About the Role

to real-world needs * Conduct validation studies and present results at conferences Tasks * Expertise with Lattice Boltzmann Methods (LBM) for fluid simulation * Background in numerical methods for transport physics (fluid dynamics, advection-diffusion, particle mechanics, or heat transfer) * Experience writing high-performance physics codes using 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 structured/unstructured meshing, 3D search, and mesh refinement * Detailed understanding of GPU architectures and CUDA toolkit * MPI programming for multi-GPU code development * Experience on large multiphysics solvers Key requirements * salary range 53,600 to 91,100 * incentive compensation * health and wellness benefits * hybrid by default * global mobility *
diversity & inclusion values

## Description

Experteer Overview In this role you will contribute to M-Star, a GPU-native, multiphysics CFD solver for industrial applications. You'll shape solver architecture, implement algorithms, and accelerate computations on modern hardware. You'll translate academic numerics into a practical, high-fidelity software product used by industry partners. You work with users and support engineers to ensure the solver remains rigorous and useful, delivering scalable, cross-domain simulations. Pay / Benefits * Develop and maintain M-Star's fluid dynamics solver, 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 environments * Collaborate with support engineers and users to tailor the software to real-world needs * Conduct validation studies and present results at conferences Tasks * Expertise with Lattice Boltzmann Methods (LBM) for fluid simulation * Background in numerical methods for transport physics (fluid dynamics, advection-diffusion, particle mechanics, or heat transfer) * Experience writing high-performance physics codes using 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 structured/unstructured meshing, 3D search, and mesh refinement * Detailed understanding of GPU architectures and CUDA toolkit * MPI programming for multi-GPU code development * Experience on large multiphysics solvers Key requirements * salary range 53,600 to 91,100 * incentive compensation * health and wellness benefits * hybrid by default * global mobility * diversity & inclusion values


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