Tesla Sr. Vehicle Dynamics Modeling Engineer 

United States, California, Palo Alto 

627689718

The Vehicle Dynamics Modelling team is responsible for predicting the unparalleled lateral and longitudinal behavior of all Tesla vehicles and aligning them with the attributes of the brand. In a fast-paced and constantly changing environment we own and maintain a family of full vehicle and subsystem models and use them relentlessly and creatively as part of a larger engineering process, both upstream to set requirements and downstream to take late-breaking opportunities in product development. We are looking for skilled and impassioned group members who will provide innovative and efficient solutions while meeting demanding timelines and superior performance requirements.

• Create, develop and maintain modelling infrastructure including, but not limited to: Ride, Driver Control, Software-in-the-Loop & Hardware-in-the-Loop, and System and Component Loading
• Create, develop and maintain performance metrics for all aspects of vehicle motion, suitable for use with real vehicle testing and predictive models
• Create, develop and maintain vehicle- and rig-test procedures for modelling-specific requirements, including supporting at off-site vehicle tests
• Deploy modelling infrastructure (including documentation) to allow large-scale structured experiments as well as smaller, flexible studies in response to emergent queries
• Clearly communicate findings in a timely manner

• Strong organizational and interpersonal skills
• Experience in multibody or other mechanical system modelling
• Experience in vehicle instrumentation and data analysis
• Creative problem solver interested in new ideas and approaches
• Degree in Mechanical Engineering or equivalent experience
• Experience developing performance goals for different specifications of vehicle, markets, controls and autonomous vehicles a plus
• Experience of other modelling methods – eg Finite Element or Computational Fluid Dynamics – a plus
• Experience in vehicle subjective evaluation on public road and proving grounds a plus
• Experience of real-time control system conceptualization, implementation and development a plus