Tesla

Makes electric cars, robotaxis and grid batteries

Vehicle Dynamics Controls Engineer - Vehicle Controls

Controls & Automation EngineeringConfirmed live in the last 24 hours

Full-timeSanta Oliva, Tarragona, SpainNo salary listedIn-person

About the Job

Requirements

Excellent background in first-principles linear systems analysis, state estimation, and control design.
Excellent fundamental understanding of vehicle dynamics, including low- and medium-fidelity models used within a control algorithm.
Demonstrated ability to design control systems from the ground up, analyze, implement, test, and debug them in real-world applications.
Ability to collaborate cross-functionally, work hands-on, and execute open-ended projects in a fast-paced, resource-constrained environment.
Basic understanding of the physics of electric drivetrains and chassis actuators such as brakes, steering, and suspensions.
Good proficiency with engineering development tools such as MATLAB, Simulink, and Python.
Basic proficiency with software development in C and C++.
Real-world experience with vehicle dynamics performance characteristics, ideally including direct experience developing, testing, and tuning traction and torque-vectoring controls.
Expertise in advanced control and estimation techniques, optimal control, control synthesis, and deployment on embedded systems.
Degree in Mechanical Engineering, Automotive Engineering, or Mechatronics, or equivalent experience and evidence of exceptional ability.

Responsibilities

Develop control-oriented models of chassis systems for analysis and estimation.
Develop torque management algorithms for allocating drive torque on multi-motor platforms.
Develop traction control algorithms to optimally manage tire slip under different operating conditions of a multi-motor vehicle.
Develop model-based deployment strategies for active aero actuators based on vehicle onboard sensors and estimates.
Evaluate novel subsystems related to vehicle motion to inform product architecture decisions.
Build and maintain Model-in-the-Loop simulation environments to model vehicle dynamics, control algorithms, and state estimation.
Develop and implement control algorithms to maximize vehicle stability and performance and advance vehicle motion control technology deployed in Tesla vehicles.
Develop and implement estimation and monitoring algorithms to maximize system safety and reliability.
Ensure algorithm stability and performance using software-in-the-loop and hardware-in-the-loop tools, in the vehicle at proving grounds, and in the customer fleet.
Assist in testing, data analysis, troubleshooting, and optimization of control systems to improve vehicle performance.

Category	Engineering & Information Technology
Location	Santa Oliva
Requisition ID	281129
Type	Full-time

Job Description

<div class="MSWordContent"><p>The Tesla Vehicle Dynamics 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, and Self Driving actuator controls </div>

Job Responsibilities

Develop control-oriented models of chassis systems for analysis and estimation
Develop torque management algorithms for the allocation of drive torque on multi-motor platforms
Develop traction control algorithms to optimally manage tire slip on different operating conditions of a multi-motor vehicle
Develop model-based deployment strategies for active aero actuators based on vehicle onboard sensors and estimates
Evaluate novel subsystems related to vehicle motion to inform product architecture decisions
Build and maintain Model-in-the-Loop (MIL) simulation environments to model vehicle dynamics, control algorithms, and state estimation
Develop and implement control algorithms to maximize vehicle stability and performance, and advance the state-of-the-art in vehicle motion control technology deployed in Tesla vehicles
Develop and implement estimation and monitoring algorithms to maximize system safety and reliability
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
Assist in testing, data analysis, troubleshooting, and optimization of control systems to improve vehicle performance.

Job Requirements

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, ideally with direct experience in developing, testing and tuning traction and torque vectoring controls
Expertise in advanced control and estimation techniques, and optimal control, and control synthesis and deployment on embedded systems
Degree in Mechanical Engineering, Automotive Engineering, Mechatronics, or equivalent in experience and evidence of exceptional ability.

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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