Vehicle Dynamics Controls Engineer Internship

hace 2 semanas

Santa Oliva, Tarragona, España Tesla A tiempo completo

What To Expect- Location: Barcelona, Spain (on-site)
- Working Hours: Full-Time (40 hours p/w)
- Duration: 3-6 months
- Start date: February 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 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
What You'll Do

  • Develop control-oriented models of chassis systems for analysis and estimation, with specific focus on suspension control
  • Build and maintain Model-in-the-Loop (MIL) simulation environments to model vehicle dynamics, control algorithms, and state estimation.
  • Analyze and simulate suspension system behaviors, incorporating vehicle dynamics principles.
  • 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

  • Assist in testing, data analysis, troubleshooting, and optimization of control systems to improve vehicle performance.
    What You'll Bring
    What You'll Bring

  • Demonstrated knowledge in controls design, ideally with exposure to suspension control systems.

  • Fundamental understanding of vehicle dynamics, specifically low and medium fidelity models to be used within a control algorithm
  • 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++
  • Hands-on experience with active/adaptive suspensions, damping controls design and implementation preferred
  • Fluency in English
    , Tesla

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