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

Location: Hybrid, in-office role at the headquarters in Los Altos, California, United States.

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

Company

hirify.global develops tools and capabilities to improve human life, advancing AI, robotics, autonomous driving, and material sciences.

What you will do

• Work with researchers on a well-scoped research project in learning-based control and autonomous driving.
• Extend existing controls, AI, and machine learning algorithms or design new algorithms for vehicle control at the performance limit.
• Develop methods for formal safety guarantees, including forward invariance, stability, and constraint satisfaction.
• Implement algorithms on a full-scale vehicle research platform and address challenging driving scenarios.
• Publish original research at a high-impact conference.

Requirements

• Be an M.S. or Ph.D. student in ML/AI, robotics, computer science, mechanical engineering, aerospace engineering, or a similar field.
• Be proficient in scientific Python, Unix, and robotic frameworks such as ROS2.0.
• Have knowledge of machine learning, nonlinear system control, and optimal control.
• Have experience working on joint scientific and engineering projects.
• Have good collaboration skills.

Nice to have

• Knowledge of vehicle dynamics.
• Relevant publications in the listed research fields.
• Familiarity with or interest in racing or high-performance driving.
• Open-source contributions or technical project write-ups relevant to the role.

Culture & Benefits

• Paid 12-week summer internship with competitive compensation.
• Hybrid, in-office research environment in Los Altos, California.
• Medical, dental, and vision insurance, plus paid time off including holiday pay and sick time.
• Collaborative and inclusive environment focused on innovative research and professional development.

Hiring process

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