onsite
Fluid Simulation Engineer - DeepSim, Inc.
Software Engineer
Fluid Simulation Engineer driving AI‑powered physics simulations for next‑gen AI chip design, leveraging CFD, GPU acceleration, and machine learning to deliver high‑fidelity fluid models in a research environment.
About the role
Key Responsibilities
- Develop and optimize large‑scale fluid simulation algorithms for AI chip design, ensuring numerical stability and accuracy.
- Implement GPU‑accelerated solvers in C++/CUDA to meet real‑time performance targets.
- Integrate machine learning models to enhance turbulence modeling and parameter estimation.
- Collaborate with hardware architects to validate simulation results against silicon prototypes.
- Document methodologies, publish findings, and present at internal and external conferences.
Requirements
- PhD or Master’s in Mechanical Engineering, Applied Physics, or related field with CFD focus.
- Proven experience in GPU programming (CUDA/OpenCL) and high‑performance computing.
- Strong programming skills in Python and C++ for simulation development.
- Knowledge of machine learning frameworks (PyTorch/TensorFlow) for physics‑informed modeling.
- Excellent analytical, problem‑solving, and communication skills.
Skills
pythoncmachine learning