<p>Consider before submitting an application:</p> <p>This position is expected to start around January 2026 and continue through the Winter/Spring term (approximately April 2026) or into Summer 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.</p> <p>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. to experience life at Tesla by giving them ownership over projects that are critical to their teams success.</p> <p>As an Integration Engineer on the Autonomy team, youll be working at the intersection of AI, robotics, and systems integration, bringing Teslas cutting edge technology to life across both vehicle and robotic platforms. This role blends software development, system level problem solving, and cross functional collaboration to ensure seamless performance across our full autonomy stack. Youll work closely with teams spanning hardware, AI, controls, and safety to develop and implement features that push the boundaries of whats possible in autonomous systems.</p> <ul> <li>Write, debug, and maintain robust C/C++ software for the Autopilot and humanoid robot software stack </li><li>Integrate Autopilot features and controls with user interfaces and other vehicle systems </li><li>Develop and iterate on new features through simulation, validation, and fleet data analysis </li><li>Optimize feature effectiveness while minimizing power consumption </li><li>Bring up Autonomy features on new vehicle and compute platforms </li><li>Industry experience developing in C/C++, including modern standards (C++14/17/20), multithreading, and Python; familiarity with CUDA or OpenCL is a strong plus </li><li>Solid understanding of embedded systems architecture and real time software design principles </li><li>Working knowledge of computer vision, machine learning, and their practical applications in real world systems is a strong plus </li><li>Experience with automotive communication protocols such as CAN, Ethernet, and TCP/IP </li><li>Proficient in Linux based software development, with additional experience in embedded Linux environments and cross compilation toolchains considered a plus </li><li>Currently pursuing a degree in Computer Science, Physics, Computer Engineering or related fields with a graduation date between 2026-2027 </li></ul>