What To Expect
The Tesla Vehicle Motion Controls team works on design and implementation of control algorithms and software that delivers the world-class vehicle dynamics attributes Tesla vehicles are known for. The control algorithms at Tesla are strongly physics oriented, so the role requires an individual that can apply first-principles analysis and advanced control techniques for the design and implementation of novel, industry-leading vehicle motion control systems (specifically, controlling brake, suspension, steering, aero, and powertrain systems). This role will also require working cross-functionally with various groups including Chassis Hardware, Vehicle Dynamics and Modeling, Firmware, Systems Integration, and Self Driving teams. Some well-known systems our team has developed and shipped include an industry-first Steer-by-Wire and Rear-Steer system on the Cybertruck, Track Mode and torque vectoring for the Plaid Model S, Tesla’s in-house stability control (VDC), multi-motor traction control, adaptive suspension damping, trailer sway control, Self Driving actuator controls, etc.

What You'll Do

Develop control-oriented models of chassis systems for analysis and estimation

Evaluate novel subsystems related to vehicle motion to inform product architecture decisions

Work with Vehicle Dynamics Engineers to ensure sensing, actuation, and algorithm designs can deliver the desired vehicle dynamics attributes

Develop and implement control algorithms to maximize system capability and flexibility

Develop and implement estimation and monitoring algorithms to maximize system safety and reliability

Work with Firmware/Integration Engineers to test, debug, and calibrate the algorithms in simulation and in car

Ensure stability and performance of the algorithms using software-in-the-loop (SIL) and hardware-in-the-loop (HIL) tools, in the vehicle at proving grounds and in the customer fleet

Advance the state-of-the-art in vehicle motion control technology deployed in Tesla vehicles

What You'll Bring

Excellent background in first principles linear systems analysis, state-estimation, and control design

Excellent fundamental understanding of vehicle dynamics, specifically low and medium fidelity models to be used within a control algorithm

Demonstrated ability to ground-up design, analyze, implement, test, and debug control systems in real-world applications

Demonstrated ability to collaborate cross-functionally, work hands-on, and execute on open-ended projects in a fast-paced, resource-constrained environment

Basic understanding of the physics of electric drivetrains, and chassis actuators like brakes, steering, suspensions, etc.

Good proficiency with engineering development tools like Matlab/Simulink/Python

Basic proficiency with software development in C/C++

Real world experience with vehicle dynamics performance characteristics, preferred

Expertise in advanced control and estimation techniques, and optimal control, preferred

Degree in Mechanical Engineering, Automotive Engineering, or equivalent in experience and evidence of exceptional ability

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