Lead Engineer – AI-Driven Digitalization for Engineering

Eaton

Southfield (MI)

Hybrid

USD 105,000 - 154,000

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Eaton’s Digital Engineering team is seeking a Lead Engineer – Digitalization & AI to drive AI-enabled engineering transformation across the enterprise. You will architect, develop, and industrialize AI and digital engineering technologies supporting Eaton’s future products and platforms.

This role collaborates with divisions, CoEs, product teams, IT, and global engineering groups to deliver production-ready workflows spanning requirements, design, simulation, testing, and manufacturing, with a

Qualifications

Master’s or PhD in Mechanical, Electrical, Aerospace, 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.
Extensive knowledge in computing and artificial intelligence, and AI agents development.

Responsibilities

Create Agentic AI design models performing end to end design optimization, meshing, simulation, constraint checks, manufacturability scoring, and design iteration.
Integrating AI into traditional engineering tools for RM, DFMEA, DFSS, etc. to enhance engineers’ productivity and process efficiency.
Develop Multi physics digital twins. 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.