Lead Engineer - Digitalization & AI

Eaton\u2019s CTO Corporate Technology Office division is currently seeking a Lead Engineer - Digitalization \u0026 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.\n\nThe expected annual salary range for this role is $105000 - $154000 a year. \n\nPlease 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. \n\n## What you\u2019ll do:\n\nEaton\u2019s Corporate Technology Office is currently seeking a Lead Engineer \u2013 Digitalization \u0026 AI to join our team. This role is open to a hybrid work schedule out of an Eaton Engineering site within the US.\n\n \nPosition Overview: \nThe Digital Engineering team is currently seeking a Lead Engineer \u2013 Digitalization \u0026 AI to support AI-enabled engineering transformation initiatives across the enterprise. Eaton\u2019s Digital Engineering is a corporate RDE function within Eaton\u0027s Corporate CTO office, responsible for innovative and breakthrough design strategy development for Eaton\u2019s 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\u2019s future products and platforms.\n\n \nWith 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.\n\n \nMaking 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\u2019s where bold, bright professionals like you can reach your full potential\u2014and where you can help us reach ours.\n\n \nIn this role you will: \n\u2022 Create Agentic AI design models performing end\u2011to\u2011end design optimization, meshing, simulation, constraint checks, manufacturability scoring, and design iteration \n\u2022 Integrating AI into traditional engineering tools for RM, DFMEA, DFSS, etc. to enhance engineers productivity and process efficiency. \n\u2022 Develop Multi\u2011physics digital twins. Drive cross\u2011domain model integration for electromagnetics, thermal, structural, fluid, and control systems, aligned with NVIDIA Omniverse SimReady, and similar initiatives. \n\u2022 Build Physics AI co\u2011sim engines combining PINNs + FE solvers + surrogate inference to automate geometric optimization loops and real\u2011time design guidance. \n\u2022 Build internal CAD\u2011aware transformer/GNN models trained on Eaton\u2019s entire 3D portfolio to enable design retrieval, completion, and conditional regeneration. \n\u2022 Deploying enterprise\u2011scale digital twins for design, operations, and manufacturing with connected digital threads. \n\n## Qualifications:\n\nRequired (Basic) Qualifications: \n\u2022 Master\u2019s or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, or related field \n\u2022 Minimum of three (3) years developing AI/ML models, CAE workflows, or digital twin systems \n\u2022 Minimum of two (2) years of industry experience in aerospace, electrical systems design, or relevant engineering discipline \n\u2022 Must be able to work in the United States without corporate sponsorship now and in the future. \n\u2022 Forward thinking, fast learning, and good problem-solving skills.\n\n \nPreferred Qualifications \n\u2022 Masters in an engineering discipline or related field from an accredited institution. \n\u2022 Demonstrated strong experience in product development using high fidelity multi-physics models. \n\u2022 Expertise in artificial intelligence, physics-informed machine learning, and digital twins. \n\u2022 Experience in multiple CAE tools including ANSYS, Abaqus, MATLAB Simulink, or similar software applications is a plus.\n\n## Skills:\n\nPosition Criteria \n\u2022 Forward thinking, fast learning, and excellent problem-solving skills. \n\u2022 Strong written and verbal communication skills in dealing with senior management, colleagues, customers, and suppliers. \n\u2022 Ability to multi-task and work in collaborative teams to achieve organizational goals. \n\u2022 Business and/or research acumen with a proven record of formulating value proposition\n\nWe 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\u0027s 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.\n\nEaton 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.\n\nYou 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.\n\nTo request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.\n\nWe 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.\n