About the job
Empowering a Future of Autonomy
At Venti Technologies, we are revolutionizing logistics through the development of robotic vehicles that enhance safety, promote sustainability, and enrich human life. Our team is driven by innovation and a shared goal of making the world a better place with groundbreaking technology.
We are on a mission to deploy autonomous vehicles at a fleet level, and we are seeking exceptional talent to help us turn this vision into reality.
About Venti Technologies
Venti Technologies, with offices in the U. S. and Asia, is at the forefront of safe-speed autonomous logistics systems. Our advanced technology, which includes sophisticated algorithms and deep learning, is designed to transform goods transportation. Since our inception in 2018, we have built an unparalleled international team that is dedicated to delivering value through cost savings, increased vehicle utilization, and enhanced safety. Our autonomous systems are already operational in various industrial and logistics environments across Asia, and we continue to expand our reach.
We invite you to join our Planning team as an intern, where you will collaborate with experienced engineers and researchers. You will have the opportunity to design, develop, and test algorithms that enable autonomous systems to navigate complex environments safely and efficiently. This internship promises hands-on experience in tackling challenging problems in autonomy and robotics.
Key Responsibilities
Assist in the development of behavior and motion planning algorithms for autonomous vehicles, focusing on decision-making and trajectory generation.
Implement, test, and validate algorithms in simulation environments and on actual vehicles.
Optimize existing algorithms for enhanced performance, safety, and efficiency.
Collaborate with cross-disciplinary teams including perception, localization, and control to ensure seamless integration of planning algorithms.
Analyze test data and simulation outcomes to evaluate algorithm performance and identify areas for improvement.
Stay informed about the latest research in behavior and motion planning.

