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.**
Visa sponsorship is not available for this role.
