Staff Planning Research Scientist

The role

The Staff Planning Research Scientist will lead the technical direction and system architecture for planning within the autonomy stack. This role involves driving the research roadmap and defining how planning interacts with perception, prediction, and control systems.

What you will do

• Define the long-term research and development roadmap for planning within the autonomy stack.
• Identify key challenges in decision-making, trajectory generation, and optimization.
• Design, analyze, and validate advanced route, behavior, and motion planning algorithms.
• Lead integration of planning algorithms with perception, prediction, localization, and control systems.
• Evaluate research trends and prototype ideas for production-ready systems.
• Establish methods to evaluate planning performance under complex conditions.
• Provide technical guidance to researchers and engineers.
• Stay informed on advances in planning, decision-making, and learning for autonomy.
• Represent Venti in research discussions, conferences, and technical collaborations.

Required qualifications

• Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field, with a focus on route planning, motion planning, or autonomous systems.
• Mastery of planning algorithms (graph search, sampling-based, and optimization-based methods), route planning, and decision-making frameworks (behavior trees, FSMs, RL).
• Strong background in optimization, probabilistic reasoning, or control theory.
• Proven ability to formulate and solve complex autonomy problems using rigorous mathematical principles.
• Hands-on experience with ROS (Robot Operating System) and real-world deployment of autonomous systems or robots.
• Experience leading technical projects, mentoring engineers, and contributing to organizational growth.
• Excellent communication skills for working across multidisciplinary teams and influencing technical direction.

About the company

Venti Technologies is a leader in safe-speed autonomous logistics systems, developing the future of goods transportation. The company has autonomous systems deployed in Asia for industrial and logistics sites.