Lead Engineer - AI-Driven Digital Engineering

Eaton; Beachwood (OH); Hybrid; USD 105,000 - 154,000; Full time

Job summary

Eaton’s Digital Engineering team seeks 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 for future products and platforms.

Based in the US on a hybrid schedule, you will blend mechanical, electrical, and software expertise to deliver production-ready workflows from requirements to manufacturing, increasing throughput and product quality.

Qualifications

• Master’s or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, or related field.
• 3+ years developing AI/ML models, CAE workflows, or digital twin systems.
• 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 offered; candidates should reside within 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 development

CAE workflows

Digital twins

Aerospace experience

Python/ML

Communication

Education

Master's or PhD in Mechanical/Electrical/Aerospace/CS/Applied Math

Tools

ANSYS

Abaqus

MATLAB Simulink

Job description

Eaton’s Digital Engineering team seeks 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 for future products and platforms.

Based in the US on a hybrid schedule, you will blend mechanical, electrical, and software expertise to deliver production-ready workflows from requirements to manufacturing, increasing throughput and product quality.