Tesla Internship Body Controls Systems Integration 

United States, California, Palo Alto 

932821944

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.

• Distill vehicle product requirements into actionable software requirements

• Lead software architecture design of body controls products and features

• Define system hardware and software interfaces

• Bring-up and debug early software and hardware prototypes through characterizing the systems and ensuring systems perform to requirements

• Support validation teams in developing component and system level test plans to meet product requirements

• Understand and debug hardware and software interactions during design, launch, and deployment of products or features

• Perform field data analytics to improve design and performance of the system

• Analyze changes to assess impact to systems by summarizing impacted devices, interfaces and process in the hardware and software domain

• Perform DFMEA and HARA for body controls systems

• Serve as a system leader to provide technical direction for electrical, software, manufacturing, mechanical design, and service teams

• Help various cross-functional teams understand how their systems and related decisions impact different vehicle systems

• Degree in Mechatronics, Electrical Engineering, Computer Engineering, Systems Engineering, or a related field of study with a graduation date between April 2025-December 2026

• Strong C/C++ comprehension

• Experience with Python programming

• Comfortable with Electrical Engineering fundamentals

• Excellent at hands-on debugging complex subsystems involving network microprocessors and software-controlled electrical or electromechanical devices

• Comfortable analyzing data to improve design and performance of a system

• Understanding of hardware and software development processes

• Experience with CAN tools such as Vector CANape and PCAN explorer, preferred

• Experience with LIN communications, preferred

• Experience in DFMEA, HARAs, and fault trees, preferred