Human Interactive Driving Research Intern, Learning-Based Control for Safe Autonomous Driving

About the job

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!

The Team

Within the Extreme Performance Intelligent Control team, we are developing techniques to advance vehicle safety and performance capabilities using tools from machine learning, optimization, and control theory. We pursue a hybrid approach to high-performance driving that unites physics-based optimal control with data-driven learning. By embedding vehicle dynamics and optimization structure into learned controllers, we aim to build systems that adapt to uncertainty and match or exceed expert drivers while retaining the interpretability and guarantees of classical methods.