Lead Engineer — AI-Driven Digital Engineering

Eaton; Galesburg (MI); Hybrid; USD 105,000 - 154,000; Full time

Job summary

Eaton’s CTO Corporate Technology Office division is seeking a Lead Engineer – Engineering Digitalization & AI to drive AI-enabled digital engineering transformations across the enterprise on a hybrid schedule in the United States. You will architect, develop, and industrialize AI-enabled workflows spanning requirements, design, simulation, testing, and manufacturing, increasing engineering throughput and product quality.

Collaboration with global teams is essential.

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.
• Extensive knowledge in computing and artificial intelligence, and AI agents development.
• Must be able to work in the United States without corporate sponsorship now and in the future.
• No relocation benefit is being offered for this position. Only candidates that currently reside within the immediate geographical area of 50 miles of a US Eaton location.

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.

Skills

AI/ML models

Digital twin

Multi-physics

Engineering tools integration

Communication skills

Education

Master's or PhD

Tools

ANSYS

Abaqus

MATLAB/Simulink

Job description

Eaton’s CTO Corporate Technology Office division is seeking a Lead Engineer – Engineering Digitalization & AI to drive AI-enabled digital engineering transformations across the enterprise on a hybrid schedule in the United States. You will architect, develop, and industrialize AI-enabled workflows spanning requirements, design, simulation, testing, and manufacturing, increasing engineering throughput and product quality.

Collaboration with global teams is essential.