Internship, Software Engineer, Integration, AI Platforms (Fall 2025)

Consider before submitting an application:

This position is expected to start around August or September 2025 and continue through the Fall term (ending approximately December 2025) or continuing into Winter/Spring 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not 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.

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. In addition, the team plays a key role in developing safety and reliability specifications for driverless vehicle operation. You would be designing fail-safe mechanisms and redundant architectures to mitigate risks and minimize downtime in autonomous driving scenarios. The team contributes to the development and deployment of new features on both vehicles and robotics platforms. Join us in shaping the future of mobility and robotics technology.

• 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
• 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
• Pursuing a degree in Computer Science, Physics, Computer Engineering, Electrical Engineering, or a related field of study with a graduation date between December 2025 -May 2026