Autonomous Vehicle Planning Engineer Intern

Responsibilities

• Assist in developing behavior/motion planning algorithms for autonomous vehicles, including decision-making and trajectory generation
• Implement, test, and validate behavior and motion planning algorithms in simulation environments and/or on vehicles
• Work on optimizing existing behavior/motion planning algorithms for performance, safety, and efficiency
• Collaborate with teams across different domains such as perception, localization, and control
• Analyze test data and simulation results to assess algorithm performance
• Stay up-to-date with the latest research in behavior planning and motion planning

Requirements

• Currently studying for a Diploma or Bachelor's degree in Computer Science, Engineering, Robotics, or related fields
• Strong programming skills in C++
• Understanding of behavior planning and decision-making frameworks (e.g., finite state machines, behavior trees)
• Experience with Motion Planning algorithms such as RRT or RRT*
• Experience with ROS and real-world autonomous systems or robots
• Ability to commit to at least 6 months

About the Company

Venti Technologies is a leader in safe-speed autonomous logistics systems, developing the future of goods transportation through rigorous mathematics, deep learning, and theoretically-grounded algorithms.