Educads publishes fully funded scholarships, Internships, Free online Courses , Job opportunities for all from around the world.

Tesla Vehicle Controls Internship Summer – 2022

Disclaimer: This position is expected to start around May or June 2022 and continue through the entire Summer term (i.e. through August/September) or into early Fall 2022 if available. We ask for a minimum of 12 weeks, full-time, for most internships. Please consider before submitting an application.
International Students: If your work authorization is through CPT, please consult your school before applying. You must be able to work 40 hours per week. Many students will be limited to part-time depending on their academic standing.
Internship Program at Tesla
The Internship Recruiting Team is driven by the passion to recognize emerging talent. Our year-round program places the best students in positions where they will grow both technically and personally through their experience working closely with their manager, mentor, and team. We are dedicated to providing an experience that allows for the intern to experience life at Tesla by giving them projects that are critical to their team’s success.
Instead of going on coffee runs and making copies, you’ll be seated at the table making critical decisions that will influence not only your team, but the overall achievement of Tesla’s mission.
Locations Available
  • Palo Alto, CA
About the team
The Tesla vehicle control systems team works to model, design, simulate, and help implement and calibrate sophisticated algorithms for various subsystems in our cars and other products. From battery management algorithms, motor control, torque production, vehicle dynamics, thermal management, or even making falcon doors open gracefully, the team develops control algorithms critical to the awesome experience of driving a Tesla!
  • Intern will work on projects within a sub-system like battery management algorithms, vehicle dynamics control, torque production and motor control, thermal and HVAC controls etc.
  • Depending on the project, your responsibilities will include:
    • Develop control-oriented models of various systems in the car
    • Use them to develop and refine estimation and control algorithms
    • Work with firmware/integration engineers to implement, test, debug, and calibrate your algorithms in our cars
    • Develop analysis tools to track performance of these algorithms in the fleet
    • Participate in cross functional efforts to define control system capability and establish actuation/sensing requirements
  • Working towards a BS,MS, or higher degree in Electrical, Mechanical, Aerospace, Chemical, Automotive Engineering, or equivalent
  • Strong proficiency with creating and using dynamic models of mechanical, electrical, or thermal systems, in Matlab/Simulink/Python or similar environments
  • Basic background in model-based control design
  • Proficiency with analysis of large data sets in Matlab/Python or similar environments
  • Strong willingness to collaborate cross-functionally, work hands-on, and dive into open-ended projects in a fast-paced environment
  • Willingness to work with actual vehicles test-benches to test your algorithms
  • Basic proficiency with C/C++
  • Preferred:
    • Strong background in linear systems, state-estimation, first principles design/analysis, and real-world implementation of control systems
    • Strong background in a specific area like battery management, vehicle dynamics, motor control, thermal management, torque production, etc.

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Apply Now

Log In

Forgot password?

Forgot password?

Enter your account data and we will send you a link to reset your password.

Your password reset link appears to be invalid or expired.

Log in

Privacy Policy

Add to Collection

No Collections

Here you'll find all collections you've created before.