Internship, Embedded Systems Software Engineer, AI Platforms (fall 2026)

Tesla Tesla · Auto · Palo Alto, CA · Tesla AI

Internship role focused on developing and bringing up system software for AI platforms in embedded systems for Tesla's autonomous vehicles and humanoid robots. Responsibilities include RTOS bring-up, C code delivery, and developing Linux device drivers for AI hardware accelerators and sensors.

What you'd actually do

  1. Bring up RTOS (Real Time Operating Systems) on the next generation of embedded systems for Tesla autonomy
  2. Deliver high-quality C code in a real-time embedded environment
  3. Develop and maintain Linux device drivers for AI interface hardware accelerators, camera capture, ISP (Image Signal Processors), GPU, Ethernet, UFS, and PCIE
  4. Define the hardware, software interactions for our next generation fully autonomous car platform, Humanoid Robot, and the expanding AI inference use-cases
  5. Develop and bring-up the system software stack that runs on the AI platform and interacts with various sensors in the car and robot

Skills

Required

  • Currently pursuing a degree in Computer Science, Computer Engineering, Software Engineering, or a related field of study with a graduation date between December 2026 – December 2027
  • Strong C/C++ programming skills
  • Experience working with and writing softwarefor embedded Linux systems
  • Experience working and debugging complex, distributed software systems
  • Comfortable analyzing data to improve design and performance of a system
  • Understanding of hardware and software development processes

Nice to have

  • Experience with software/kernel preferred
  • Experience in Python/Perl/Bash Scripting is a plus
  • Experience with Ethernet or CAN communication protocols is preferred

Other signals

  • AI inference use-cases
  • AI Platforms
  • embedded systems for Tesla autonomy
  • Humanoid Robot