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Jobs in Singapore   »   Jobs in Singapore   »   Business Management / Project / Planning Job   »   Planning Research Scientist
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Planning Research Scientist

Venti Technologies Pte. Ltd.

Venti Technologies Pte. Ltd. company logo

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. Venti’s 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 seeking a highly skilled and motivated Planning Research Scientist to join our planning and control team. As part of this team, you will work on cutting-edge research and development of planning algorithms that enable autonomous systems to navigate complex environments safely and efficiently. This is an exciting opportunity for individuals who are passionate about advancing the field of autonomy and robotics. You will play a key role in the design, development, and optimization of behavior and motion planning systems while collaborating closely with cross-functional teams.

Role responsibilities

  • Algorithm Development: Design and develop advanced behavior and motion planning algorithms for autonomous vehicles, focusing on decision-making and trajectory generation to ensure safe and efficient navigation in dynamic environments.
  • Simulation and Testing: Implement, simulate, and validate planning algorithms in both simulation environments and real-world autonomous platforms. Conduct in-depth analysis to ensure robustness and reliability.
  • Optimization: Optimize existing behavior and motion planning algorithms for enhanced performance, scalability, safety, and energy efficiency. Identify bottlenecks and propose solutions to improve real-time planning.
  • Collaboration: Work closely with interdisciplinary teams including perception, localization, and control to integrate and test planning algorithms within a broader autonomy stack.
  • Mentorship and Leadership: Provide guidance and mentorship to junior engineers and interns. Contribute to fostering a collaborative and innovative working environment.

Required experience

  • Educational Background: Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field, with a focus on autonomous systems, motion planning, or artificial intelligence.
  • Programming Proficiency: Strong proficiency in C++. Experience with software development for large-scale autonomous systems.
  • Motion Planning Expertise: In-depth knowledge of behavior and motion planning algorithms such as RRT, RRT*, A*, and other graph-search algorithms.
  • Advanced Knowledge of Decision-Making Frameworks: Expertise in decision-making frameworks, including finite state machines, behavior trees, and reinforcement learning.
  • Strong Problem-solving Skills: Ability to approach complex challenges with innovative solutions. Proven track record of working in dynamic, collaborative environments.
  • Experience with Optimization: Demonstrated ability to optimize algorithms for performance and efficiency in real-time systems.
  • Experience with Real-world Systems: Hands-on experience with ROS (Robot Operating System) and real-world deployment of autonomous systems or robots.

Salary is commensurate with experience. We also offer world-class benefits, fantastic culture, flexible working arrangements, and a great international working environment. Come and join us!

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