Lead Engineer - Engineering Digitalization & AI

Role overview

Workplace

• Hybrid work schedule based at an Eaton engineering site within the United States.
• The role is open to candidates residing within 50 miles of a US Eaton location; relocation benefits are not offered.

Salary

• Expected annual salary range is $105,000–$154,000.

Responsibilities

• Create agentic AI design models for optimization, meshing, simulation, constraint checks, manufacturability scoring, and design iteration.
• Integrate AI into engineering tools and processes, including requirements management, DFMEA, and DFSS.
• Develop multiphysics digital twins integrating electromagnetic, thermal, structural, fluid, and control-system models.
• Build physics-AI co-simulation engines combining PINNs, finite-element solvers, and surrogate inference.
• Build CAD-aware transformer/GNN models for design retrieval, completion, and conditional regeneration.
• Deploy enterprise digital twins for design, operations, and manufacturing with connected digital threads.

Required qualifications

• Master’s or PhD in mechanical engineering, electrical engineering, aerospace engineering, computer science, applied mathematics, or a related field.
• At least 3 years developing AI/ML models, CAE workflows, or digital twin systems.
• At least 2 years of industry experience in aerospace, electrical systems design, or a relevant engineering discipline.
• Extensive knowledge of computing and artificial intelligence, including AI agent development.
• Must be eligible to work in the United States without current or future corporate sponsorship.

Preferred qualifications and criteria

• An engineering master’s degree, strong product-development experience with high-fidelity multiphysics models, and expertise in AI, physics-informed machine learning, and digital twins are preferred.
• Experience with multiple CAE tools such as ANSYS, Abaqus, or MATLAB Simulink is a plus.
• The role calls for problem-solving, communication, collaboration, multitasking, and business or research acumen.