Autonomous Vehicle Planning Engineer Intern

The role

You will work with experienced engineers and researchers to design, develop, and test algorithms for autonomous systems. The role involves navigating complex environments safely and efficiently through autonomy and robotics.

What you will do

• 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 and identify areas for improvement
• Stay up-to-date with the latest research in behavior planning and motion planning and propose innovative solutions

Required qualifications

• Existing Students studying in Diploma/Bachelor degree in Computer Science, Engineering, Robotics, or related fields
• Strong programming skills in C++
• Understanding of behavior planning, decision-making frameworks (e.g., finite state machines, behavior trees), or related AI techniques
• Experience with Motion Planning algorithms, such as RRT, RRT*, and other graph-search based algorithms
• Experience with ROS and real-world autonomous systems or robots
• Strong problem-solving skills, curiosity, and the ability to work in a collaborative team environment

About the company

Venti Technologies is a leader in safe-speed autonomous logistics systems, developing the future of goods transportation. The company has autonomous systems deployed in Asia for industrial and logistics sites.