Autonomous Vehicle Planning Engineer Intern
Autonomous Vehicle Planning Engineer Intern
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Job Description
A world empowered by autonomy. We build robotic vehicles to improve logistics safety forge a greener Earth and enhance human lives.
We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles and we are looking for the best-of-the-best to join us in making this a reality.
About Venti Technologies
Based in the U.S. and Asia Venti Technologies is the 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. Ventis 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 unsurpassed team internationally. 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 you with hands-on experience in solving challenging problems in autonomy and robotics field.
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: Work on optimizing existing behavior/motion planning algorithms for performance safety and efficiency.
Collaboration: Collaborate with teams across different domains such as 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 areas for improvement.
Research: Stay up-to-date with the latest research in behavior planning and motion planning and propose innovative solutions to address autonomy challenges.
Required experience
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.
We are looking for interns who can commit at least 6 months and above.
Required Experience:
Intern
Employment Type
Intern
