Applied AI Engineer - Engineering Simulation & Design Exploration

Hands-on Applied AI Engineer to prototype, test, and benchmark AI-assisted engineering simulations. Build and evaluate surrogate models and physics-informed ML tools, develop hybrid pipelines (surrogate models with high-fidelity validation), test robustness and failure modes, and present clear, evidence-based recommendations. Roles emphasize prototyping over production work, including tool evaluation, benchmarking against FEM/CFD workflows, and exploring design-space workflows. Core skills include Python, PyTorch/JAX, FEM/CFD or multiphysics modeling, deep learning, surrogate modeling, DOE/optimization, and strong collaborative communication.