职位介绍
What to Expect
- Location: Barcelona, Spain (on-site)
- Working Hours: Full-Time (40 hours p/w)
- Duration: 3-6 months
- Start date: November 2026
PLEASE NOTE YOU MUST BE ENROLLED IN EDUCATION FOR THE FULL DURATION OF THE INTERNSHIP TO BE CONSIDERED FOR THIS ROLE
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
What You’ll Do
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
What You’ll Bring
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
