Tesla

Makes electric cars, robotaxis and grid batteries

Vehicle Dynamics Chassis Controls Intern

Controls & Automation EngineeringUpdated on Nov 10

Internship · Winter 2026Barcelona, SpainNo salary listed

About the 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 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.
Proficiency with engineering development tools such as MATLAB, Simulink, and Python.
Basic proficiency with software development in C and C++.
A degree in Mechanical Engineering, Automotive Engineering, or equivalent experience and evidence of exceptional ability.
Must remain enrolled in education for the full duration of the internship.

Responsibilities

Develop and implement real-time estimation algorithms to represent vehicle dynamic state and infer driver intent during emergency and high-performance maneuvers.
Develop control-oriented models of chassis systems for analysis and estimation.
Develop and implement control algorithms to maximize system capability and flexibility.
Build and maintain Model-in-the-Loop (MIL) simulation environments to model vehicle dynamics, control algorithms, and state estimation.
Work with Vehicle Dynamics Engineers to ensure sensing, actuation, and algorithm designs deliver the desired vehicle dynamics attributes.
Work with Firmware and Integration Engineers to test, debug, and calibrate algorithms in simulation and in the vehicle.
Ensure algorithm stability and performance 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 with testing, data analysis, troubleshooting, and optimization of control systems to improve vehicle performance.
Advance vehicle motion control technology deployed in Tesla vehicles.

Category	Vehicle Software
Location	Santa Oliva
Requisition ID	284423
Type	Intern/Apprentice

Job Description

<ul class="tds-list tds-list--unordered"><li>Location: Barcelona, Spain (on-site) </li><li>Working Hours: Full-Time (40 hours p/w) </li><li>Duration: 3-6 months </li><li>Start date: November 2026 </li></ul><p>PLEASE NOTE YOU MUST BE ENROLLED IN EDUCATION FOR THE FULL DURATION OF THE INTERNSHIP TO BE CONSIDERED FOR THIS ROLE </p><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) and anti-lock braking system (ABS), multi-motor traction control, adaptive suspension damping, and trailer sway control </p>

Job Responsibilities

What You’ll Do

Develop and implement real-time estimation algorithms to represent vehicle dynamic state and infer driver intent during emergency and high-performance manoeuvres
Develop control-oriented models of chassis systems for analysis and estimation
Develop and implement control algorithms to maximize system capability and flexibility
Build and maintain Model-in-the-Loop (MIL) simulation environments to model vehicle dynamics, control algorithms, and state estimation
Work with Vehicle Dynamics Engineers to ensure sensing, actuation, and algorithm designs can deliver the desired vehicle dynamics attributes
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
Assist in testing, data analysis, troubleshooting, and optimization of control systems to improve vehicle performance
Advance the state-of-the-art in vehicle motion control technology deployed in Tesla vehicles

Job Requirements

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
Good proficiency with engineering development tools like Matlab/Simulink/Python
Basic proficiency with software development in C/C++
Degree in Mechanical Engineering, Automotive Engineering, 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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