About the role
We are looking for a Fluid Simulation Engineer with deep expertise in numerical simulation of fluid flow. You’ll play a key role in advancing DeepSim’s core simulation engine by designing solvers, modeling complex flow regimes, and enabling high-performance inference for large-scale engineering use cases.
Responsibilities
- Develop, implement, and optimize CFD/FEM-based fluid solvers for convection and heat transfer PDEs with multiphysics interactions.
- Investigate and enhance solver stability, accuracy, and performance across a variety of regimes and geometries.
- Build core simulation components and modeling pipelines that support AI-driven simulation frameworks.
- Collaborate with AI and systems engineers to create hybrid numerical/ML simulation architectures.
- Evaluate new numerical techniques, discretization strategies, and high-performance computing optimizations.
Qualifications
- Strong background in fluid simulations using CFD or FEM methods.
- Deep understanding of numerical solver mechanics and experience building CFD/FEM tools from scratch or modifying existing open-source frameworks.
- Proficiency in Python and C/C++, with experience writing high-performance and maintainable scientific code.
- Familiarity with HPC environments, GPU acceleration, or distributed computing is a plus.
- Master’s or PhD in engineering, applied physics, or a related discipline.
