> Markdown version of [/jobs/ext/2019411-cfd-solver-developer-lbm](https://www.wearedevelopers.com/jobs/ext/2019411-cfd-solver-developer-lbm). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CFD Solver Developer (LBM) - **Company:** Siemens Plc - **Location:** Edinburgh, UK - **Contract:** Permanent contract - **Skills:** Computational Fluid Dynamics, Nvidia CUDA, Computer Programming, Computational Geometry, Parallel Computation, Stable Diffusion, Industrial Software - **Published:** August 11, 2026 - **Apply:** https://eu.experteer.com/career/view-jobs/cfd-solver-developer-lbm-edinburgh-grossbritannien-58877239 ## About the Role Experteer Overview In this role you will contribute to M-Star, a GPU-native, multiphysics CFD solver. You will translate numerical methods into a high-performance software product and model complex physics across industrial applications. You'll work with a small, expert team to extend solver architecture, GPU acceleration, and multiphysics implementations while engaging with users and support engineers. This position offers impact on predictive simulations and collaboration across engineering disciplines. Pay / Benefits * Develop and maintain M-Star's fluid dynamics solver, including new features and validation * Translate academic numerical methods into a production-quality software product * Model physics such as fluid dynamics, multiphase flows, advection-diffusion, particle mechanics, and heat transfer * Implement meshing algorithms and data structures for GPU architectures in distributed memory * Collaborate with support teams and users to tailor the software to needs * aaaaa in 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) * High-performance code development 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 * Understanding of GPU architectures and CUDA toolkit * MPI programming for multi-GPU code development * Experience on a large multiphysics solver Key requirements * salary with incentive compensation * health and wellness benefits * hybrid by default / flexible work mode * global mobility opportunities * diversity & inclusion emphasis * a numerical software leader benefits link ## Description Experteer Overview In this role you will contribute to M-Star, a GPU-native, multiphysics CFD solver. You will translate numerical methods into a high-performance software product and model complex physics across industrial applications. You'll work with a small, expert team to extend solver architecture, GPU acceleration, and multiphysics implementations while engaging with users and support engineers. This position offers impact on predictive simulations and collaboration across engineering disciplines. Pay / Benefits * Develop and maintain M-Star's fluid dynamics solver, including new features and validation * Translate academic numerical methods into a production-quality software product * Model physics such as fluid dynamics, multiphase flows, advection-diffusion, particle mechanics, and heat transfer * Implement meshing algorithms and data structures for GPU architectures in distributed memory * Collaborate with support teams and users to tailor the software to 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) * High-performance code development 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 * Understanding of GPU architectures and CUDA toolkit * MPI programming for multi-GPU code development * Experience on a large multiphysics solver Key requirements * salary with incentive compensation * health and wellness benefits * hybrid by default / flexible work mode * global mobility opportunities * diversity & inclusion emphasis * industrial software leader benefits link ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Strange New Worlds: shaping the future of the digital age](https://www.wearedevelopers.com/videos/677-strange-new-worlds-shaping-the-future-of-the-digital-age) - [What If Apps Built Themselves? 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