Human Interactive Driving Research Intern, Decision-Making for Driving at the Limits (AI)

Location: Hybrid, in-office role in Los Altos, California, United States; experiments with high-performance vehicles on a closed racetrack.

Salary: $45–$65/hour for California-based roles; $40–$58/hour for Massachusetts-based roles.

Company

Research and development organization advancing AI, robotics, autonomous driving, and material sciences to improve human mobility and quality of life.

What you will do

• Develop optimization, modeling, embodied reasoning, and perception algorithms for high-performance driving.
• Implement, deploy, and evaluate models and algorithms on high-performance vehicles.
• Conduct experiments involving high-performance cars on a closed racetrack.
• Present research results verbally and in writing at international conferences and internally.

Requirements

• Ph.D. candidate in robotics, differentiable optimization, machine learning, control, Bayesian modeling, computer vision, embodied reasoning, or a related field.
• Proficiency in at least one of Python, C++, ROS/ROS 2, PyTorch, or JAX.
• Experience deploying algorithms on real-world platforms.
• Excellent collaboration and communication skills.
• Strong interest in advancing vehicle autonomy and embodied AI.

Culture & Benefits

• Paid 12-week summer internship with a hybrid, in-office arrangement.
• Medical, dental, and vision insurance.
• Paid time off, including holiday pay and sick time.

Hiring process

• Include links to relevant open-source contributions or technical project write-ups with the application.