Job Description
We are seeking a talented Software Engineer to develop advanced navigation and path planning algorithms that enable our global fleet of autonomous cleaning robots to move safely and intelligently in complex environments. This role is ideal for an engineer passionate about robotics, algorithm development, and system integration. You will take ownership of the planning stack, from high-level route planning, to complex complete path generation. This role demands strong fundamentals in motion planning, computational geometry, and optimization, as well as hands-on experience deploying algorithms on real robots. You will work closely with teams across SLAM, Perception, and Control to deliver navigation software that performs reliably in the real world.
Key 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
Qualifications & Experience
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.
Hands-on experience with ROS1 / ROS2 and modern software engineering practices.
Solid understanding of robot kinematics, dynamics, and map representations (occupancy grids, costmaps, graph maps).
Deep understanding of graph and sampling-based global planners (A*, D*, RRT*, PRM, etc.).
Experience with implementing complete coverage path planning algorithms.
Familiarity with trajectory optimization and local planning frameworks (TEB, MPC, or similar).
Familiarity with simulation tools (Gazebo, Isaac Sim, or RViz) for development and validation.
Strong analytical mindset with excellent problem-solving and debugging abilities.
Experience with learning-based or hybrid planning algorithms (e.g. reinforcement and imitation learning) is a bonus.
Experience with optimizing software for embedded hardware (e.g., Jetson, ARM) or GPU-based acceleration is a bonus.
If you have a passion for driving meaningful operational improvements, excel at analytical problem-solving, and thrive in a dynamic scaleup atmosphere, we invite you to join LionsBot and help shape the future of robotics innovation.
Skills Required
- Bachelor's or Master's degree in Computer Science, Robotics, or related field (PhD acceptable).
- 3+ years industry experience in navigation, motion, or coverage planning.
- Strong proficiency in C++ and Python development on Linux.
- Hands-on experience with ROS1 / ROS2.
- Experience deploying algorithms on real robots and integrating with SLAM and perception.
- Solid understanding of robot kinematics, dynamics, and map representations (occupancy grids, costmaps, graph maps).
- Deep understanding and implementation experience with graph and sampling-based global planners (A*, D*, RRT*, PRM, etc.).
- Experience implementing complete coverage path planning algorithms.
- Familiarity with trajectory optimization and local planning frameworks (TEB, MPC, or similar).
- Familiarity with simulation tools for development and validation (Gazebo, Isaac Sim, RViz).
- Strong analytical problem-solving and debugging abilities; maintain comprehensive documentation and test cases.
- Experience with learning-based or hybrid planning algorithms (reinforcement or imitation learning).
- Experience optimizing software for embedded hardware (Jetson, ARM) or GPU-based acceleration.
What We Do
Founded in 2018, LionsBot is a Singapore-headquartered smart robotics company providing deep technology solutions to the commercial cleaning industry. LionsBot has created a range of autonomous floor-cleaning machines designed and built in Singapore and equipped with LionsOS, its proprietary cloud operating system. The company’s first robot, the LeoBot, was awarded the prestigious Interclean Amsterdam Innovation Award in 2020 – the first Asian company to win this coveted prize. LionsOS was awarded the European Cleaning & Hygiene Award for technological innovation of the year in 2022 and the prestigious IF design award in 2023. The R3 Vac was awarded the Red Dot award – one of the world’s largest design competitions. Today, LionsBot has over 1,700 cleaning robots in 30 countries and counting across Europe, the US and Asia, with subsidiaries in India, the US and Netherlands.
.jpeg)
