Autonomous Vehicle Planning Engineer Intern

About Venti Technologies

Based in the U.S. and Asia, Venti Technologies is a leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an internationally diverse team. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters.

We are looking for a motivated and talented intern to join our Planning team. As a Planning Intern, you will work closely with experienced engineers and researchers to design, develop, and test algorithms that allow autonomous systems to navigate complex environments safely and efficiently. This internship will provide hands-on experience in solving challenging problems in autonomy and robotics.

Role responsibilities

• Algorithm Development: Assist in developing behavior/motion planning algorithms for autonomous vehicles, including decision-making and trajectory generation.
• Simulation and Testing: Implement, test, and validate behavior and motion planning algorithms in simulation environments and/or on vehicles.
• Optimization: Improve existing behavior/motion planning algorithms for performance, safety, and efficiency.
• Collaboration: Work with teams across perception, localization, and control to ensure robust integration of planning algorithms.
• Data Analysis: Analyze test data and simulation results to assess algorithm performance and identify improvement areas.
• Research: Stay up-to-date with the latest research in behavior planning and motion planning and propose innovative solutions to autonomy challenges.

Required experience

• Active students pursuing a Diploma or Bachelor’s 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 methods.
• 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.

Duration

Internship duration: at least 6 months.