Research Engineer

• Lead development of differentiable CFD solvers for non-isothermal and reactive flow simulations on multi-node multi-GPU hardware using JAX
• Design, implement, and containerize code to ensure reproducibility, scalability, and ease of deployment across HPC GPU environments.
• Develop optimized parallel linear solvers using FFT or other matrix decompositions
• Extend existing implementation of immersed boundary method to complex geometries and non-periodic boundary conditions
• Extend and validate CFD capabilities from single-node to multi-node GPU systems for both non-reactive and reactive flow regimes.
• Integrate transport equations for up to 50 chemical species using linear numerical methods.
• Validate simulation accuracy against benchmark results and fixed-bed reactor configurations.
• Develop gradient-based optimization scripts to iteratively modify reactor designs based on objective functions defined by catalyst activity and selectivity.
• Collaborate closely with AI model developers to link catalyst property predictions with reactor-scale flow optimization.
• Generate comprehensive technical reports summarizing algorithms, scalability, differentiability, and validation results for milestone reviews.

Senior Research Engineer, CFD Algorithm Development

Research Engineer – Machine Learning, Geometric Processing

Founding AI/ML Research Engineer

Research Engineer, Optimization

Principal Algorithm Research Engineer – Remote/Flexible