Fluid Simulation Engineer
at DeepSim, Inc. — An AI physics simulator for AI chip design
What the role involves
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.
What they ask for
About DeepSim, Inc.
DeepSim is building an AI physics simulator. We are currently developing the only thermal simulator to meet AI chip design needs and are validating our tool with Intel. We are a team of three electrical engineering PhDs from Stanford with backgrounds in semiconductor fabrication and design.
Full DeepSim, Inc. profile