Software Engineer II - Physics-AI Engineer
Core
Design, train, and deploy AI models and surrogate systems to reduce computation time for structural analyses while maintaining high physical accuracy in stamping simulations and composite materials.
Role type
Senior IC Physics-AI Engineer (simulation)
Builds
AI surrogate models, reduced-order models, and deep learning-based surrogates for finite element analyses (FEA)
Domain
Mechanical/Civil Engineering + Machine Learning + CAE/FEA
Deliverable
production ML models
Required skills
continuum mechanics, numerical methods, Python, PyTorch, TensorFlow, C++, generative modeling for physical sciences, CAE/FEA software (NASTRAN, Abaqus, ANSYS)
Preferred skills
experience with commercial and open-source CAE/FEA software, background in mechanical or civil engineering
Technologies
PyTorch, TensorFlow, NASTRAN, Abaqus, ANSYS, C++, Python
Responsibilities
Develop reduced-order models and deep learning-based surrogates to approximate high-fidelity FEA; Predict manufacturability and key results for stamping simulations and composite materials; Integrate and deploy machine learning models within engineering workflows via APIs; Generate synthetic data using existing simulation frameworks; Develop validation pipelines to test AI accuracy against traditional numerical solvers
Seniority
Mid-level, hands-on IC