- Robot type
- Robot AI and Software
- Location
- Los AltosCaliforniaUSA
- Job type
- Business Operations
- Posted
- Oct 29, 2026
Human Interactive Driving Research Intern, Decision-Making for Driving at the Limits
Job description
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
This is a paid 12-week internship opportunity and is a hybrid, in-office role.
Here’s a glimpse into the Internship experience from some of our TRI interns!
Within the Extreme Performance Intelligent Control team, we are developing techniques to advance vehicle safety and performance capabilities using tools from optimization, machine learning, and computer vision.
Job responsibilities
- Develop new optimization, modeling, embodied reasoning, or/and perception algorithms.
- Implement, deploy, and evaluate models and algorithms on high-performance cars.
- Present results in verbal and written communications at international conferences and internally.
Job requirements
- Ph.D. candidate working in: robotics, (differentiable) optimization, machine learning, control, Bayesian modeling, computer vision, embodied reasoning, or related fields.
- Proficiency in at least one of the following: Python, C++, ROS(2), Pytorch, JAX.
- 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.
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