AI Researcher
Core
Architecting Physics-AI foundations to replace traditional simulation methods with high-speed AI models for automotive, aerospace, and energy engineering.
Role type
Senior IC AI Researcher (Physics-informed Deep Learning)
Builds
Scalable production systems for solving complex partial differential equations (PDEs) and aerodynamic simulations
Domain
Physics-informed AI, Computational Fluid Dynamics, Aerospace & Automotive Engineering
Deliverable
production ML models
Required skills
Physics-based Deep Learning, Partial Differential Equations (PDEs), Transformer architectures, Graph Neural Networks (GNNs), Diffusion models, High-performance computing (HPC) infrastructure, Distributed training, Data pipeline automation, C++ optimization, CUDA programming
Preferred skills
Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), Equivariant Neural Networks, Aerodynamics, Fluid Dynamics, Structural Mechanics
Technologies
PyTorch, JAX, TensorFlow, C++, CUDA
Responsibilities
Lead R&D of novel ML architectures for PDEs; Translate mathematical concepts into optimized production code; Pioneer new geometry representations for deep learning; Mentor junior researchers and define internal research standards; Publish research at top-tier conferences; Partner with CFD specialists and software engineers
Seniority
Senior, hands-on IC with strategic leadership