Hybrid High-Performance Driving Research Intern

Toyota Research Institute Inc.; Los Altos (CA); Hybrid; USD 62,000 - 90,000; Full time

Job summary

Toyota Research Institute (TRI) invites PhD candidates to join the Extreme Performance Intelligent Control team for a paid 12-week internship in Los Altos, CA. The role is hybrid, in-office, and focuses on high-performance driving perception, modeling, and control research.

You will implement and evaluate algorithms on high-performance cars, present results at internal venues and conferences, and contribute to software deployed on real-world vehicles.

Qualifications

• Ph.D. candidate in CV/ML/robotics with strong research potential.
• Proficiency in Python, C++, ROS2, PyTorch or JAX.
• Experience deploying algorithms on real-world platforms and hardware.

Responsibilities

• Develop perception, modeling, embodied reasoning, and/or control algorithms.
• Deploy and evaluate models on high-performance cars.
• Present results at internal meetings and international conferences.

Skills

Python

C++

ROS(2)

PyTorch

JAX

Education

PhD candidate in computer vision / ML / robotics

Tools

LiDAR stacks

Bayesian filtering

Geometric foundation models

Job description

Toyota Research Institute (TRI) invites PhD candidates to join the Extreme Performance Intelligent Control team for a paid 12-week internship in Los Altos, CA. The role is hybrid, in-office, and focuses on high-performance driving perception, modeling, and control research.

You will implement and evaluate algorithms on high-performance cars, present results at internal venues and conferences, and contribute to software deployed on real-world vehicles.