Lead AI/ML Engineer, Digital Engineering MBSE

The Lead Engineer - Digital Engineering will support the execution of both Eaton and US government-funded programs that explore the use of digital technologies to transform the future of our industry.
She/he will implement digital engineering strategies by integrating machine learning, numerical and analytical models, and computational frameworks to meet various business needs. Outcomes include accelerating product lifecycle management efforts, including product design, manufacturing, inspection, prognostics and health management, and digital twins.
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:
• Develop high-fidelity models using CAE tools including ANSYS, Abaqus, MATLAB Simulink, or similar software applications.
• Apply AI and Machine Learning to create surrogate models for PHM and digital twin.
• Collaborate with design, manufacturing, and simulation engineers to develop end-to-end solutions.
• Lead virtual verification & validation efforts.
• Author procedures, guidelines, and best practices to support organic growth and adoption of digital engineering across the enterprise.

* Full remote option for qualified US resident candidate or Hybrid option to work on-site at our Southfield, Michigan location.

Qualifications:

Required (Basic) Qualifications:

• Master's or PhD in an engineering discipline, computer science or related area from an accredited institution.
• 3+ years of industry experience in the aerospace, automotive or electrical components and systems design.
• 3+ years of experience in advanced modeling & simulation, optimization, and automation using CAE analysis packages such as ANSYS, Abaqus, MATLAB, among others.
• Computing skills and experience in the use of Python as well as CAE programming languages.
• Must be able to work in the United States without corporate sponsorship now and in the future.

Preferred Qualifications:

• PhD in an engineering discipline, computer science or related area.

• Engineering Project experience using AI / ML to solve engineering problems.
• Proficiency with multiple programming language (e.g., Python, VBA, Java, Angular)
• Forward thinking, fast learning, and good problem-solving skills
• Ability to multi-task and work in collaborative teams to achieve organizational goals.

• Forward thinking, fast learning, and good problem-solving skills
• Strong written and verbal communication skills
• Ability to multi-task and work in collaborative teams to achieve organizational goals.

The application window for this position is anticipated to close on Feb 21,2025.

We 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 1-800-836-6345 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.