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 th...