Internship, Actuator Controls Engineer, Tesla Bot (Fall 2024)

Consider before submitting an application:

This position is expected to start around August/September 2024 and continue through the entire Fall term (i.e. through December 2024) or into Spring 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 Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team's success.

Tesla is on a path to build humanoid bi-pedal robots at scale to automate repetitive and boring tasks. As a member of the software team, you will design and implement reliable & efficient control code for bipedal locomotion, object manipulation and state estimation. You will work on improving the robot's behavior in the real world, and reflecting those capabilities in a simulation engine for fast iteration. The code you will write will at term run in thousands of humanoid robots in real world situations and will therefore be held to high quality standards.

• Work on the architecture and controls for per-joint level systems in the TeslaBot where we need to develop smart control and estimation techniques to seamlessly switch between different control modes depending on the task

• Develop control architectures beyond PID's where we design spring mass models and full state feedback control at a joint level

• Develop thermal and state estimation models for torque limiting and safety

• Torque and power arbitration between multiple joints which share a DC bus

• Currently working towards an advanced degree in Electrical, Mechanical, Aerospace, Automotive, Robotics Engineering or a related field of study with a graduation date between December 2024-2025

• Physics Modeling Fundamentals

• Understanding of how motors / gears / linkages work

• Strong with C

• Implemented on hardware