Robotics Physics Modeling Engineer Intern - Model Based Design, Optimus

Job Description

<p>Consider before submitting an application:<br></p><p>This position is expected to start around January 2027 and continue through the entire Spring term (ending approximately May 2027 or later, if available). We ask for a minimum of 12 weeks, full-time (40 hours/week) 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><br><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.</p><p>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. </p><p>Welcome to Tesla's Optimus Robotics Team, the epicenter of innovation, where we're not just designing humanoid bi-pedal robots like the Tesla Bot; we're creating a revolution in automation for repetitive tasks. Join us in this thrilling journey, where you'll find yourself at the intersection of mechanical, electrical, controls, software, and manufacturing engineering disciplines, working collaboratively to drive the future of robotics. You will be at the forefront of groundbreaking developments, working on the core of robotics evolution. Your focus will be on designing and manufacturing robots that set new standards for performance. You'll be empowered to optimize powertrains, innovate linkages, and enhance the capabilities of robotic limbs, all with an eye on efficient mass production.</p>