We are Siemens
Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our software.
Are you a Physicist who enjoys working at the intersection of numerical methods, high-performance computing, and real-world engineering applications? We’re hiring a CFD Solver Developer 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’d love to hear from you!
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.
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.
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.
Experience working on a large multiphysics solver.
At Siemens Software, flexibility is how we work- hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You’ll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. Compensation & Benefits
The actual compensation offered is based on the successful candidate’s job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link:
For such locations, the applicable salary ranges and benefits will be disclosed by the Talent Acquisition Partner at the time of initial contact, in accordance with local legal requirements.
At Siemens, we believe people who’ve had real experiences dealing with being different will excel as leaders. Let’s foster a culture of creativity and innovation. 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. Siemens Software.
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Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our software.
Are you a Physicist who enjoys working at the intersection of numerical methods, high-performance computing, and real-world engineering applications? We’re hiring a CFD Solver Developer 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’d love to hear from you!
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.
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.
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.
Experience working on a large multiphysics solver.
At Siemens Software, flexibility is how we work- hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You’ll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. Compensation & Benefits
The actual compensation offered is based on the successful candidate’s job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link:
For such locations, the applicable salary ranges and benefits will be disclosed by the Talent Acquisition Partner at the time of initial contact, in accordance with local legal requirements.
At Siemens, we believe people who’ve had real experiences dealing with being different will excel as leaders. Let’s foster a culture of creativity and innovation. 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. Siemens Software.
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