Human Interactive Driving Intern – Localization and Mapping

Toyota Research Institute (TRI) is on a mission to improve the quality of human life through innovative technologies. The internship focuses on developing new perception, modeling, and control methodologies for high-performance driving to enhance vehicle safety and performance capabilities. Responsibilities Develop novel perception algorithms for high-performance driving Implement, deploy, and evaluate models and algorithms on high-performance cars Present results in verbal and written communications at international conferences and internally Skills Ph.D. candidate working on related fields: robot perception, computer vision, robot learning, deep learning, or related fields Proficiency in at least one of the following: Python, C++, ROS(2), Pytorch, CUDA, JAX Familiarity in one of the following areas: semantic mapping, SLAM, and foundation models Experience in deploying algorithms on real-world platforms Excellent collaboration and communication skills Strong interest in pushing the limits of robot autonomy Strong publication records in top conferences and journals, including RSS, CVPR, ECCV, ICCV, ICRA, RA-L, NeurIPS, ICLR, etc Publications related to semantic mapping, neural distance fields, Gaussian Splatting Publications related to SLAM, Lidar/Visual Odometry, and Structure from Motion Publications related to foundational models Benefits Medical Dental Vision insurance Paid time off benefits Holiday pay Sick time Company Overview Toyota Research Institute is an R&D enterprise with an initial focus on artificial intelligence and robotics. It was founded in 2016, and is headquartered in Palo Alto, California, USA, with a workforce of 201-500 employees. Its website is Company H1B Sponsorship Toyota Research Institute has a track record of offering H1B sponsorships, with 10 in 2025, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.