Senior Path Planning Engineer for Autonomous Robots

LionsBot International Pte Ltd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

LionsBot International Pte Ltd is seeking a Software Engineer to develop advanced navigation and path planning algorithms for its fleet of autonomous cleaning robots. You will own the planning stack from high-level route planning to complete path generation and work with SLAM, Perception, and Control teams to ensure robust real-world performance.

The role requires strong fundamentals in motion planning, computational geometry, and optimization, plus hands-on deployment on real robots.

Qualifications

• Bachelor’s or Master’s degree in CS, Robotics, or a related field (or PhD with relevant focus).
• 3+ years of industry experience in navigation, motion or coverage planning.
• Strong proficiency in C++ and Python development on Linux; ROS1/ROS2 experience.

Responsibilities

• Design and implement global path planning algorithms for large-scale dynamic environments, ensuring optimal and collision-free routing across multi-floor indoor environments
• Develop and optimize complete coverage path planners tailored for cleaning robots
• Develop and maintain costmap and environment representations, integrating perception and SLAM inputs for accurate planning
• Develop and apply learning-based planning techniques (e.g. reinforcement and imitation learning) to enhance navigation adaptability and robustness in dynamic environments
• Develop comprehensive test cases for validating algorithms and software in both simulated and real-world environments, to ensure reliable performance
• Maintain comprehensive documentation of all code implementations and test cases

Skills

Analytical problem solving

Robotics passion

Team collaboration

Education

Bachelor’s or Master’s in CS/Robotics

Tools

C++

Python

ROS1/ROS2

Linux

Jetson

Gazebo

RViz

Job description

LionsBot International Pte Ltd is seeking a Software Engineer to develop advanced navigation and path planning algorithms for its fleet of autonomous cleaning robots. You will own the planning stack from high-level route planning to complete path generation and work with SLAM, Perception, and Control teams to ensure robust real-world performance.

The role requires strong fundamentals in motion planning, computational geometry, and optimization, plus hands-on deployment on real robots.