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Staff Planning Research Scientist

Venti Technologies· Engineering
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SingaporeFull-timePosted 10mo ago

About the role

We are seeking a Staff Planning Research Scientist to lead the technical direction and system architecture for planning within our autonomy stack, drive the research roadmap, and mentor the team to translate advanced theory into robust, real-world autonomous systems.

Responsibilities

  • Technical Leadership: Define the long-term research and development roadmap for planning within the autonomy stack. Identify key challenges in decision-making, trajectory generation, and optimization for real-world logistics operations.
  • Algorithm Development: Design, analyze, and validate advanced route, behavior, and motion planning algorithms. Push the boundaries of autonomous planning through novel approaches in optimization, learning, and uncertainty modeling.
  • System Integration: Lead integration of planning algorithms with perception, prediction, localization, and control systems. Anticipate system-level trade-offs and guide architectural decisions for reliable deployment.
  • Research to deployment: Evaluate academic and industrial research trends, prototype promising ideas, and guide their evolution into production-ready systems. Balance long-term research innovation with near-term deployment needs.
  • Performance and Robustness Analysis: Establish methods to evaluate planning performance under complex and uncertain real-world conditions. Identify bottlenecks and develop strategies to enhance reliability, safety, and efficiency.
  • Mentorship and Team Development: Provide technical guidance to researchers and engineers, fostering a culture of innovation, ownership, and delivery.
  • External Awareness: Stay informed on advances in planning, decision-making, and learning for autonomy. Represent Venti in research discussions, conferences, and technical collaborations where appropriate.

Qualifications

  • - Educational Background: 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.
  • - Deep Planning Expertise: Mastery of planning algorithms (graph search, sampling-based, and optimization-based methods), route planning, and decision-making frameworks (behavior trees, FSMs, RL).
  • - Theoretical Foundations: Strong background in optimization, probabilistic reasoning, or control theory. Proven ability to formulate and solve complex autonomy problems using rigorous mathematical principles.
  • - Experience with Real-world Systems: Hands-on experience with ROS (Robot Operating System) and real-world deployment of autonomous systems or robots.
  • - Leadership and Mentorship: Experience leading technical projects, mentoring engineers, and contributing to organizational growth.
  • - Collaboration & Communication: Excellent communication skills for working across multidisciplinary teams and influencing technical direction.

Skills

Required:Planning algorithmsRoute planningOptimizationROS
Last updated Jul 15, 2026. Interested? Apply on the company site.

About Venti Technologies

GLOBAL LEADER IN AI-POWERED AUTONOMOUS VEHICLE LOGISTICS SOLUTIONS

Venti’s proprietary autonomous vehicle logistics solutions are the easiest to roll-out, the most precise and the safest package on the global market.

AIAutonomous VehiclesLogisticsVehicle Solutions
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