Lead Engineer - Digitalization & AI

Eaton’s CTO Corporate Technology Office division is currently seeking a Lead Engineer - Digitalization & AI. The preference for this role is open to a hybrid work schedule out of Southfield, MI however we will consider candidates at any Eaton site within the US or remote.The expected annual salary range for this role is $105000 - $154000 a year.Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.What you’ll do:Eaton’s Corporate Technology Office is currently seeking a Lead Engineer – Digitalization & AI to join our team. This role is open to a hybrid work schedule out of an Eaton Engineering site within the US.Position Overview:The Digital Engineering team is currently seeking a Lead Engineer – Digitalization & AI to support AI-enabled engineering transformation initiatives across the enterprise. Eaton’s Digital Engineering is a corporate RDE function within Eaton's Corporate CTO office, responsible for innovative and breakthrough design strategy development for Eaton’s products and services. You will collaborate across divisions, CoEs, product teams, IT, and global engineering groups to architect, develop, and industrialize AI and digital engineering technologies supporting Eaton’s future products and platforms.With focus on delivering value, the Digitalization and AI Lead Engineer will combine engineering domain expertise and AI to develop production-ready workflows spanning requirements, architecture, design, simulation, test, and manufacturing, increasing engineering throughput and product quality.Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each day. It’s where bold, bright professionals like you can reach your full potential—and where you can help us reach ours.In this role you will:Create Agentic AI design models performing end‑to‑end design optimization, meshing, simulation, constraint checks, manufacturability scoring, and design iterationIntegrating 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.Qualifications:Required (Basic) Qualifications:Master’s or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, or related fieldMinimum of three (3) years developing AI/ML models, CAE workflows, or digital twin systemsMinimum of two (2) years of industry experience in aerospace, electrical systems design, or relevant engineering disciplineMust be able to work in the United States without corporate sponsorship now and in the future.Forward thinking, fast learning, and good problem-solving skills.Preferred QualificationsMasters in an engineering discipline or related field from an accredited institution.Demonstrated strong experience in product development using high fidelity multi-physics models.Expertise in artificial intelligence, physics-informed machine learning, and digital twins.Experience in multiple CAE tools including ANSYS, Abaqus, MATLAB Simulink, or similar software applications is a plus.Skills:Position CriteriaForward thinking, fast learning, and excellent problem-solving skills.Strong written and verbal communication skills in dealing with senior management, colleagues, customers, and suppliers.Ability to multi-task and work in collaborative teams to achieve organizational goals.Business and/or research acumen with a proven record of formulating value propositionWe are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at View phone number on click.appcast.io to discuss your specific need. Only accommodation requests will be accepted by this phone number.We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. #J-18808-Ljbffr Nutanix