What to Expect

Consider before submitting an application:  

This position is expected to start around January 2025 and continue through the entire Winter term (i.e. through May 2025) or into Summer 2025 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most internships.

International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.

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. 

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 pursuing a Degree in Electrical, Mechanical, Aerospace, Automotive, Robotics Engineering or a related field
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 
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.

PALO ALTO, California

Intern/Apprentice