Digital Vehicle Dynamics Engineer

The Engineer for Vehicle Dynamics Digital Development is responsible for Planning and executing activities to support Advanced Vehicle Programs by specifying component and sub system specifications to meet full vehicle performance targets for Ride, Handling and Steering. The selected candidate will be working with key team members from Vehicle Dynamics Test, Vehicle Development, Chassis Component Design, NVH and Durability. Off-line Simulation assessments will support recommendations supported by Virtual Validation with correlated models. HIL/SIL integration as needed to support vehicle tuning.

• Execute and update the Virtual workplan
• Ensure key deliverables are met at the appropriate milestones
• Building, correlating models and using them to satisfy the workplans
• Prioritize the workload according to the needs of the program: balancing meeting internal deliverables, but also best serving the vehicle & program needs.
• Represent Digital Vehicle Dynamics in technical discussions with the interfacing teams
• Provide Technical assistance to the Less experienced and contract Virtual Engineers
• Participate in Global process development activities

Basic Qualifications:

• Minimum of a Bachelor of Science in Mechanical Engineering, Electrical Engineering or related degree
• A minimum of 8 years of experience in vehicle dynamics or chassis design
• Minimum of 2 years of experience of Multi Body Simulation (preferably ADAMS Car)
• Candidate must be highly motivated, self-directed, and have the ability to manage multiple complex assignments simultaneously
• Strong cross functional team management skills along with superior written and oral skills
• Experience with tire models
• Familiarity with Vehicle Ride, Handling, and Steering, with associated metrics
• Understanding of Chassis subsystems and components - (e.g. Suspension Kinematics/Compliance, tires, springs, shocks and steering/Braking systems)
• Experience with Other Simulation tools (e.g. CARSIM, Car Realtime, MATLAB, EXCEL)

Preferred Qualifications:

• Master's Degree
• Ability to Leverage AI
• Ability to develop custom routines – e.g. Visual Basic, Python, MATLAB
• Experience with Hardware in the Loop, Software in the Loop & Driver in the Loop
• Experience with Design Verification Plan & Report (DVP&R)
• Experience with Design Failure Mode & Effects Analysis (DFMEA)
• Experience with Design for Six Sigma (DFSS)
• Ability to extract component detail from NX, Teamcenter
• Ability to Coach and mentor