Computational Physicist (M-Star) in London

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Are you a Physicist who enjoys working at the intersection of numerical methods, high-performance computing, and real-world engineering applications? We are hiring a Computational Physicist to join our M-Star team - a small, yet highly effective and efficient specialized team, who deliver world class CFD software to multiple industries including Life Sciences, Chemical Material, and Industrial.

M-Star is modern computational fluid dynamics (CFD) software that provides first-principles modeling tools for scientists and engineers, generating predictions that are functionally indistinguishable from measured data. M-Star is building GPU-native, multiphysics solver for complex fluid and particle systems. Our platform is designed to deliver high-fidelity, predictive simulations of real industrial processes, including turbulent mixing, multiphase flows, particle transport, heat and mass transfer, and chemically reactive systems. We focus on mechanistic modeling rooted in transport physics, rather than empirical tuning, enabling reliable predictions across a wide range of operating conditions and scales.

If you are seeking a role where you can contribute directly to solver architecture, algorithm development, GPU acceleration, and multiphysics model implementation, while collaborating with users and support engineers to ensure the software remains both scientifically rigorous and practically useful then we would love to hear from you!

You will make a difference by:

• Developing M-Star's fluid dynamics solver including maintenance, feature addition, algorithm implementation, and validation.
• Translating academic research in numerical methods into a high-performance, easy-to-use software product.
• Modeling a wide-range of physics including fluid dynamics, multiphase flows, advection-diffusion, particle mechanics, and heat transfer.
• Implementing meshing algorithms and data structures for GPU architectures in a distributed memory environment.
• Working with support engineers and users to tailor software to current needs.
• Performing validation studies and presenting results at conferences.

Your success is grounded in:

• Background in numerical methods for transport physics (fluid dynamics, advection diffusion, particle mechanics, or heat transfer).
• Writing high performance physics codes using parallel computing in shared and distributed memory systems.
• Expertise with Lattice Boltzmann Methods (LBM) for fluid 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.
• Detailed understanding of GPU architectures and CUDA toolkit.
• MPI programming for multi-GPU code development.
• Experience working on a large multiphysics solver.

We are dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us transform the everyday!

Siemens is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.