Toyota Research Institute
Human Interactive Driving Research Intern, Learning-Based Control for Safe Autonomous Driving
Los Altos, CA · Hybrid · Internship · Posted Oct 29, 2026
- Education
- Ph.D. or M.S. student in relevant fields.
About the job
Research and implement learning-based control algorithms for autonomous vehicles, focusing on safety, performance, and physical-system knowledge, with the goal of publishing original research.
What you'll do
- Develop and conduct a scoped research project with researchers, extending or designing control, AI, or ML algorithms for vehicles at their performance limits.
- Explore methods to formalize safety guarantees and implement algorithms on a full-scale vehicle research platform.
- Work toward publishing original research at a high-impact conference.
What they ask for
- Ph.D. or M.S. student in a relevant field, such as ML/AI, robotics, computer science, mechanical engineering, or aerospace engineering.
- Proficient in scientific Python, Unix, and robotic frameworks (e.g. ROS2.0).
- Knowledge of machine learning, nonlinear system control, and optimal control.
- Experience working on joint scientific and engineering projects.
Nice to have
- Vehicle dynamics knowledge.
- Familiarity with or interest in racing or high-performance driving; relevant publications and collaboration skills are also encouraged.
Pay
$45 and $65/hour (USD, base pay)
Tools
scientific Python, Unix, ROS2.0
AI focus
Develop learning-based control methods for safe autonomous driving, incorporating physical knowledge and exploring safety guarantees, stability, and constraint satisfaction.
Model-written summary · the original posting is authoritative