About the job
Empowering a Future of Autonomy. At Venti Technologies, we are pioneering the development of robotic vehicles designed to enhance logistics safety, promote environmental sustainability, and improve quality of life.
Join our dynamic team of innovators and problem-solvers who are passionate about transforming industries through groundbreaking technology. With ambitious plans for fleet-level deployment of autonomous vehicles, we are on the lookout for top-tier talent to help us turn this vision into reality.
About Venti Technologies
Headquartered in Singapore and with significant operations in the U. S. and Asia, Venti Technologies leads the charge in safe-speed autonomous logistics systems, defining the future of goods transportation. Utilizing rigorous mathematics, deep learning, and robust algorithms, we have developed a proprietary suite of autonomy technologies that set us apart in the market. Our proven track record in reducing costs, enhancing vehicle utilization, and improving safety has garnered recognition and fueled our growth. Launched in 2018, our exceptional team spans the globe, and we have deployed autonomous systems across Asia, with a rapidly expanding pipeline. Our offices are located in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore—our Asian headquarters.
Position Overview
We are searching for a Staff Planning Research Scientist to spearhead the technical direction and system architecture for planning within our autonomy framework. In this influential role, you will shape the research agenda, foster algorithmic advancements, and define the interaction between planning, perception, prediction, and control systems to achieve safe, effective, and scalable autonomy.
Your responsibilities will include identifying high-impact research avenues, validating innovative methods through simulation and real-world deployment, and mentoring your team to translate complex theories into resilient, practical systems. This position is ideal for someone who excels at the intersection of advanced technical research and system-level autonomy design.
Key Responsibilities
- Technical Leadership: Establish the long-term R&D roadmap for planning in the autonomy stack, addressing critical challenges in decision-making, trajectory generation, and optimization for real-world logistics.
- Algorithm Development: Create, analyze, and validate cutting-edge route, behavior, and motion planning algorithms.

