Hybrid Lead Engineer: AI-Driven Digital Engineering

Eaton; Menomonee Falls (WI); Hybrid; USD 105,000 - 154,000; Full time

Benefits offered by this job

Hybrid work schedule

Health benefits

Job summary

The Lead Engineer – Digitalization & AI at Eaton will drive AI-enabled engineering transformation across the enterprise, translating advanced analytics into production workflows. You will collaborate with cross-functional teams to design, validate, and industrialize AI-driven digital engineering solutions.

The role requires deep expertise in multi-physics modeling, AI agents, and CAE tools, with a hybrid US-based work schedule and opportunities to work from Eaton locations nationwide.

Qualifications

• Master’s or PhD in a relevant engineering or related field.
• Minimum 3 years developing AI/ML models, CAE workflows, or digital twin systems.
• Minimum 2 years industry experience in aerospace or electrical systems design.

Responsibilities

• Create Agentic AI design models for end-to-end design optimization.
• Integrate AI into engineering tools to enhance productivity.
• Develop multi-physics digital twins with cross-domain model integration.
• Build physics-informed AI co-sim engines for design optimization loops.
• Deploy enterprise-scale digital twins with connected digital threads.

Skills

AI design models

End-to-end design optimization

Meshing

Simulation

Manufacturability scoring

Design iteration

Engineering tools integration

AI agents development

Multi-physics digital twins

GNN/Transformer models

Education

Master’s or PhD in Mechanical Eng., Electrical Eng., Aerospace Eng., Computer Science, Applied Math, or related field

Tools

ANSYS

Abaqus

MATLAB/Simulink

Job description

The Lead Engineer – Digitalization & AI at Eaton will drive AI-enabled engineering transformation across the enterprise, translating advanced analytics into production workflows. You will collaborate with cross-functional teams to design, validate, and industrialize AI-driven digital engineering solutions.

The role requires deep expertise in multi-physics modeling, AI agents, and CAE tools, with a hybrid US-based work schedule and opportunities to work from Eaton locations nationwide.