Tesla Internship Integration Engineer Autonomy Winter/Spring 

United States, California, Palo Alto 

300560218

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

As an Integration Engineer Intern within our Autonomy teams, you will play a crucial role in advancing our AI platform's integration with vehicles and humanoid robotics. You'll be at the forefront of developing and implementing features that leverage the power of Tesla AI, ensuring seamless functionality across various platforms. Your responsibilities will encompass software development, integration, optimization, and collaboration across multiple functions to achieve our goals.

• Write, debug, and maintain robust C/C++ software for the Autopilot and humanoid robot software stack
• Integrate Autopilot features and controls with user interfaces and other vehicle systems
• Develop and iterate on new features through simulation, validation, and fleet data analysis
• Optimize feature effectiveness while minimizing power consumption
• Provide performance data and constructive feedback to hardware design and manufacturing teams to continuously improve processes and system capabilities
• Bring up Autonomy features on new vehicle and compute platforms

• Pursuing a degree in Computer Science, Computer Engineering, or relevant field of study with a graduation date between 2025 -2026
• Must be able to relocate and work on site in Palo Alto, CA
• Practical experience programming in C/C++ software, including modern C/C++ (C++14/17/20), multithreading, and Python. Experience with Cuda/OpenCL is a plus
• Experience with embedded systems software design concepts
• Familiarity with Computer Vision, Machine Learning, and related software concepts
• Experience with automotive communication standards such as CAN, Ethernet, TCP/IP
• Proficiency in developing software on a Linux host, with experience in embedded Linux targets (cross-compilation, etc.) considered a plus
• Excellent problem-solving, critical thinking, and communication skills