Autonomous Vehicle Planning Engineer Intern
Venti Technologies2 years ago
Singapore, SingaporeIntern
Responsibilities
- Assist with developing behavior and motion-planning algorithms for autonomous vehicles, including decision-making and trajectory generation.
- Implement, test, and validate planning algorithms in simulation environments and/or on vehicles.
- Optimize existing planning algorithms for performance, safety, and efficiency.
- Collaborate with perception, localization, and control teams to integrate planning algorithms.
- Analyze test data and simulation results to assess performance and identify improvements.
- Research behavior and motion planning and propose solutions to autonomy challenges.
Requirements
- Currently studying for a diploma or bachelor’s degree in computer science, engineering, robotics, or a related field.
- Strong programming skills in C++.
- Understanding of behavior planning, decision-making frameworks such as finite state machines and behavior trees, or related AI techniques.
- Experience with motion-planning algorithms such as RRT, RRT*, and graph-search-based algorithms.
- Experience with ROS and real-world autonomous systems or robots.
- Strong problem-solving skills, curiosity, and ability to work collaboratively.
Benefits
- Internship commitment of at least six months.
- Hands-on experience with autonomy and robotics in simulation and real-world vehicle environments.
- Collaboration with experienced engineers and researchers on autonomous logistics systems.
Tech Stack
Categories
Robotics
About Venti Technologies
Venti Technologies builds autonomous driving systems and fleet operations software for logistics vehicles in seaports, airports, warehouses, and factories. The privately held company, founded in 2018 and headquartered in the Boston area, deploys its systems at industrial sites in Asia and integrates with existing terminal workflows. Venti sells and supports end‑to‑end autonomy solutions for yard tractors and related vehicles, and raised a Series A in 2023.