Engineering Specialist - Digital Engineering

With focus on delivering value, the Specialist Engineer will combine engineering domain expertise, traditional methods, and AI to create high fidelity, multi-disciplinary models. Outcomes include accelerating product lifecycle management efforts, including product design, manufacturing, inspection, prognostics and health management, and digital twins.

Job Responsibilities:
• Develop new products and technologies across Eaton's divisions and services to differentiate and lead in the emerging market.
• Execute internal and government-funded programs using agile work plans for iterative and incremental project delivery on-time and budget.
• Lead RDE proposals and build technology pipelines along with business stakeholders.
• Author procedures, guidelines, and best practices to support organic growth and adoption of digital engineering across the enterprise.
• Innovate and develop novel engineering processes that challenge the status-quo by securing critical intellectual properties through patents and external publications.
• Develop high-fidelity models with qualified predictive accuracy using a combination of AI and traditional CAE capabilities including FEA, CFD, FEM, Process Optimization, among others.

Qualifications:

Required (Basic) Qualifications:
• Master's Degree in engineering discipline or related field from an accredited institution.
• Minimum 7 years of industry experience in aerospace, automotive or electrical design.
• Minimum 5 years of experience in advanced modeling & simulation, optimization, and automation using CAE analysis packages such as ANSYS, Abaqus, MATLAB, among others..
• No relocation benefit is being offered for this position. Only candidates within a 50-mile radius of an Eaton site
• will be considered. Active-Duty Military Service member candidates are exempt from the geographical area limitation.
• Must be able to work in the United States without corporate sponsorship now and within the future.
Preferred qualifications:
• PhD in an engineering discipline or related field from an accredited institution.
• Demonstrated strong experience in product development using high fidelity multi-physics models.
• Proficiency in artificial intelligence, physics-informed machine learning, and digital twins.
• Proficiency with multiple programming languages (e.g., Python, VBA, Java, Angular).
• Expertise in multiple CAE tools including ANSYS, Abaqus, MATLAB Simulink, or similar software application.

Position Criteria

Position Criteria:
• Extensive knowledge in computing and artificial intelligence, including python programming
• Forward thinking, fast learning, and good problem-solving skills.
• Ability to multi-task and work in collaborative teams to achieve organizational goals.
• Business acumen with a proven record of formulating value proposition.
• Up to 10% travel required

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.

Client-provided location(s): Southfield, MI

Job ID: Eaton-48018Southfield

Employment Type: OTHER

Posted: 2025-08-06T15:40:07