Human Interactive Driving Research Intern, Perception for Driving at the Limits

Within the Extreme Performance Intelligent Control team, the intern will develop new perception, embodied reasoning, modeling, and/or control methodologies for high-performance driving. This is a paid, 12-week, Summer 2027 hybrid in-office internship at the Los Altos, CA headquarters, involving experiments with high-performance vehicles on a closed racetrack.

Responsibilities

Develop new perception, modeling, embodied reasoning, and/or control algorithms; Implement, deploy, and evaluate models and algorithms on high-performance cars; Present results in verbal and written form internally and at international conferences

Requirements

Ph.D. candidate working in computer vision, machine learning, robotics, embodied reasoning, or related fields; Proficiency in at least one of: Python, C++, ROS(2), PyTorch, JAX; Experience with geometric foundation models, LiDAR/visual inertial odometry stacks, and/or Bayesian filtering methods; Experience in deploying algorithms on real-world platforms; Excellent collaboration and communication skills; Strong interest in pushing the limits of vehicle autonomy and embodied AI

Benefits

Medical, dental, and vision insurance; Paid time off benefits (including holiday pay and sick time)