Consider before submitting an application:

This position is expected to start around January 2025 and continue through the entire Spring/Winter term (i.e through April 2025) or into Summer 2025 if available. We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships.

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 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.

Multiple Locations Possible: Palo Alto, CA; Austin, TX

Your application for the Vehicle Hardware Engineering – Firmware Engineering Internship will be considered across all opportunities for the teams listed below:

• The Dojo AI Supercomputer Fabric Team designs, verifies, builds, and deploys high-radix fabric interconnect systems for Tesla. We are looking for an outstanding verification intern to develop, manage, test, and physically wire the interconnect for several ExaFLOP AI systems.
• The Embedded Firmware Development team develops bare-metal firmware for a variety of Tesla products, inside and outside of vehicles. A great experience for interns wanting to gain experience and deeper understanding of computers functioning at the lowest levels.
• The Autopilot Core Silicon and Platform Software team enables Tesla's custom AI System on Chip platform that powers autonomy in vehicles and robots. The team works on Operating Systems (RealTime Linux, FreeRTOS etc.), Device Drivers for various HW Sensors (Camera, GPU, IMU etc.) and system software stack supporting the sensors and Autonomy stack.

• Currently working towards a degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• Strong comfort in C, C++, Assembly and/or Python
• Understanding fundamentals of real-time operating system (RTOS) principles
• Deep knowledge in advanced computer architecture, micro-architecture concepts, and embedded systems