Internship, Physics Engine Development Engineer, Optimus (Fall 2026)

This position is expected to start August or September 2026 and continue through summer term (ending approximately December 2026) or continuing into Winter/Spring 2027 if available and there is an opportunity to do so. 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. 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.

Responsibilities

Develop physics-based high-fidelity simulation modules for robotics application, ensuring accurate and reliable modelling of complex systems Optimize simulation performance to achieve high throughput while preserving simulation fidelity Collaborate with training and hardware design team to minimize sim-to-real gap from all angles and perspectives

Requirements

Currently pursuing a Degree in Physics, Mathematics, Robotics, Electrical Engineering, or a related field with a graduation date between 2026 - 2027 Extensive experience in robotics physics engine development, supported by first-author publications or impactful projects Deep understanding of algorithm complexity and data structures Deep understanding of control theory Familiar with compiler principles and differentiable simulations Exceptional skills in C++, Python, CUDA, and GPU programming Excellent communication skills and a collaborative approach to problem-solving