
Toyota Research Institute
Toyota Research Institute (TRI) is Toyota’s U.S.-based R&D subsidiary building AI, robotics, and automated driving technologies for future Toyota vehicles and mobility products. It also conducts materials discovery for batteries and hydrogen fuel cells and develops assistive home robotics. Founded in 2016 and headquartered in Los Altos, California, TRI delivers research, software, and prototypes that feed Toyota’s product roadmaps through close collaboration with internal teams and external research partners.
Open Positions at Toyota Research Institute
5 open positions
Develop real-time teleoperation and spatial-computing software that lets humans control and teach robots through immersive VR/AR interfaces. This paid 12-week hybrid internship combines robotics, motion capture, haptics, 3D graphics, and human–robot interaction research.
Join Toyota Research Institute as a Senior Research Engineer developing and deploying world foundation models for autonomous driving and embodied AI. You will bridge cutting-edge research and production by optimizing distributed training, building multimodal data pipelines, and creating tools that accelerate experimentation.
Join Toyota Research Institute as a Machine Learning Research Intern building and evaluating end-to-end learned driving systems that transform sensor data into vehicle trajectories. The paid, 12-week hybrid internship combines machine learning research, autonomy, simulation, and real-world deployment.
Lead the development of realistic simulation workflows for end-to-end autonomous driving, including sensor simulation, closed-loop validation, and synthetic data generation. This role bridges research, autonomy, ML infrastructure, and on-vehicle deployment across TRI and its engineering partners.
Build the data infrastructure that powers Toyota Research Institute’s autonomy research, from fleet and simulation ingestion to feature stores, labeling systems, and data discovery tools. You’ll work across robotics, machine learning, and cloud platform teams to enable reliable, reproducible driving workflows.