Lead Engineer: AI-Driven Digital Engineering

Eaton; Raleigh (NC); Hybrid; USD 105,000 - 154,000; Full time

Job summary

Eaton’s CTO Corporate Technology Office is seeking a Lead Engineer – Engineering Digitalization & AI. This role is hybrid and based out of a US Eaton location.

The position supports AI-enabled engineering transformation across the enterprise, combining engineering expertise with AI to develop production-ready workflows for design, simulation, and manufacturing. You will collaborate across divisions, CoEs, product teams, IT, and global engineering groups to architect, develop, and industrialize

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 related 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

CAE workflows

Digital twin systems

Cross-domain collaboration

Strong communication

Education

Master’s or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, or related field

Masters in an engineering discipline from an accredited institution

Tools

ANSYS

Abaqus

MATLAB Simulink

Job description

Eaton’s CTO Corporate Technology Office is seeking a Lead Engineer – Engineering Digitalization & AI. This role is hybrid and based out of a US Eaton location.

The position supports AI-enabled engineering transformation across the enterprise, combining engineering expertise with AI to develop production-ready workflows for design, simulation, and manufacturing. You will collaborate across divisions, CoEs, product teams, IT, and global engineering groups to architect, develop, and industrialize