Internship, Perception Software Engineer, Tesla Bot (Summer 2025)

Tesla is at the forefront of revolutionary robotics technology, working on developing humanoid bi-pedal robots at scale. This internship position offers an exceptional opportunity to join Tesla's software team, where you'll be directly involved in designing and implementing cutting-edge robotics solutions.

As a Perception Software Engineer intern for the Tesla Bot project, you'll work on sophisticated perception models, calibration systems, locomotion algorithms, and object detection capabilities. Your code will directly impact the performance of Tesla's fleet of humanoid robots, both in real-world applications and simulation environments.

The role combines classical robotics with modern machine learning approaches, requiring expertise in areas such as state estimation, sensor fusion, and computer vision. You'll work with various sensors including cameras and IMUs, developing algorithms that enable the robot to understand and interact with its environment effectively.

This position is perfect for students pursuing advanced degrees in Computer Science or Robotics who are passionate about pushing the boundaries of what's possible in humanoid robotics. You'll have access to state-of-the-art computing resources for training deep learning models and will work in a fast-paced, innovative environment.

The compensation package is highly competitive, ranging from $100,000 to $150,000 annually, plus comprehensive benefits including medical, dental, and vision coverage, 401(k), stock purchase options, and various insurance benefits. Tesla's location in the San Francisco Bay Area puts you at the heart of technological innovation, working alongside some of the brightest minds in the industry.

This internship represents a unique opportunity to contribute to groundbreaking robotics technology while building valuable experience in a company known for pushing technological boundaries. You'll be part of a team that's not just developing next-generation robots, but shaping the future of human-robot interaction and automation.