Location: India (Remote / Hybrid) Experience: ~14 Years in Computational Engineering, Aero-thermal Sciences, and Scientific Machine Learning (SciML) Domain: Renewable Energy, Wind Turbine Aerodynamics, Aerospace Simulations The Mission Traditional high-fidelity engineering simulations (CFD, FEA) take days and cost millions in compute time. We are building the next generation of AI-native physics simulation software to provide near-instantaneous, physics-accurate insights for the renewable energy and aerospace sectors. We are moving past classical brute-force solvers and architecting a scalable enterprise SaaS platform powered by Physics-Informed Neural Networks (PINNs) , Fourier Neural Operators (FNOs) , and NVIDIA PhysicsNeMo . As our CTO , you will own the core technical vision, bridge the gap between deep fluid physics and deep learning, and build the engineering engine that transforms cutting-edge SciML research into a scalable commercial product. What You Will Do Architect the Cor...