None
What to Expect
Disclaimer: This position is expected to start around August or September
2023 and continue through the entire Fall term (i.e. through December) or
into Winter 2024 if available. We ask for a minimum of 12 weeks, full-time,
in-person. Please consider before submitting an application.
International Students: If your work authorization is through CPT, please
consult your school on your ability to work 40 hours per week before applying.
Again, please do not apply until you know you can work 40 hours per week. Many
students will be limited to part-time during the academic year.
Internship Program at Tesla
The Internship Recruiting Team is driven by the passion to recognize and
develop emerging talent. Our year-round program places the best students in
positions where they will grow technically, professionally, and personally
through their experience working closely with their Manager, Mentor, and team.
We are dedicated to providing an experience that allows the intern to
experience life at Tesla by including them in projects that are critical to
their team's success.
Locations
Palo Alto, CA
What You'll Do
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
What You'll Bring
Currently working towards a BS, MS, or advanced degree in a relevant
engineering program such as Electrical, Mechanical, Aerospace, Automotive
or Robotics Engineering.
Proficiency with C/C++
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
Experience 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
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.
