Southfield, MI30+ days ago
Drive cross‑domain model integration for electromagnetics, thermal, structural, fluid, and control systems, aligned with NVIDIA Omniverse SimReady, and similar initiatives • Build Physics AI co‑sim engines combining PINNs + FE solvers + surrogate inference to automate geometric optimization loops and real‑time design guidance • Build internal CAD‑aware transformer/GNN models trained on Eaton's entire 3D portfolio to enable design retrieval, completion, and conditional regeneration • Deploying enterprise‑scale digital twins for design, operations, and manufacturing with connected digital threads. Qualifications: Required (Basic) Qualifications: • Master's or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, or related field • Minimum of three (3) years developing AI/ML models, CAE workflows, or digital twin systems • Minimum of two (2) years of industry experience in aerospace, electrical systems design, or relevant engineering discipline • Must be able to work in the United States without corporate sponsorship now and in the future • Forward thinking, fast learning, and good problem-solving skills.