As an Underbody Systems CAE Champ Ford Champ, you will be responsible of Support the Wheels CAE team by delivering standardized, automated finite element analysis (FEA) models for wheel components to enable consistent analysis workflows. This role helps improve model readiness and quality by building reproducible CAE datasets that support a machine-learning database, while also contributing to current program deliverables.

In addition, the CAE Champion will support technical decision-making and program tracking through Python-based data processing, database management, and dashboard development—ensuring simulation results, model versions, and key metrics are well organized, traceable, and easy to communicate.

 What you´ll do:

1. Support the Wheels CAE team with program deliverables.
2. Support the development of dashboards to track project status and key engineering metrics (KPIs) for Underbody Systems.
3. Provide data and database support using Python (data cleaning, structuring, querying, and ensuring results traceability).
4. Maintain clear technical documentation, version control, and task/issue follow-up to support on-time delivery.
 

What you´ll need:     

• Active student from any of the last 2 semesters of Mechanical, Mechatronics, or Automotive Engineering (or a related field).
• 90% English skills (Oral, reading, writing, and listening)
• Strong analytical and communication skills 
• Demonstrated CAD capability (CATIA).
• Finite element analysis experience (preferred): completion of an FEA/finite element methods course or equivalent academic project experience.
• Proficiency in Python for automation and data handling.
• Experience building dashboards (Power BI, Qlik Sense).
• Excellent written and verbal communication skills.
• Strong organization skills with the ability to track tasks and deliverables.

DISCLAIMER: Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.