Senior Software Engineer - Path Planning
Singapore · Full Time
Be the first to apply
- Experience
- 3+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 6 jam yang lalu
- Work mode
- In office
- Education
- Bachelor's degree or higher in CS, Robotics, or related fields
- Resume
- Required to apply
Where you'll work
Sign in to tell us what does and doesn't work for you here — it sharpens every match we show you.
Job description
Position Overview
LionsBot International is looking for a proactive Software Engineer specialized in developing innovative navigation and path planning algorithms that empower our autonomous cleaning robots to navigate complex indoor environments safely and efficiently. This opportunity suits engineers passionate about robotics, algorithm design, and cross-disciplinary system integration.
Responsibilities
- Create and implement global path planning algorithms suitable for expansive, dynamic indoor spaces, ensuring collision-free movement across multiple floors.
- Design and enhance comprehensive coverage path planning methods specifically tailored for cleaning robots.
- Build and sustain environmental mapping and costmap systems by integrating sensory data from perception and SLAM components to enable precise navigation.
- Apply and develop learning-driven planning solutions, including reinforcement and imitation learning, to improve the robot's adaptability and robustness in dynamic settings.
- Formulate extensive test scenarios to validate navigation algorithms and software performance across simulation and real-world deployments.
- Produce and maintain detailed technical documentation covering codebases and testing procedures.
Qualifications & Experience
- Bachelor's, Master's, or PhD degree in Computer Science, Robotics, or a related discipline with relevant focus.
- Minimum of 3 years industry experience working on navigation, motion planning, or coverage planning projects.
- Proficiency in C++ and Python programming within Linux environments.
- Practical experience with both ROS1 and ROS2 platforms accompanied by adherence to contemporary software engineering standards.
- Thorough knowledge of robot kinematics, dynamics, and diverse map representations such as occupancy grids, costmaps, and graph-based maps.
- Comprehensive understanding and use of graph and sampling-based global path planners including A*, D*, RRT*, and PRM.
- Implementation experience with full-coverage path planning algorithms.
- Acquaintance with trajectory optimization techniques and local path planning frameworks like TEB or Model Predictive Control (MPC).
- Familiarity with simulation environments such as Gazebo, Isaac Sim, or RViz to support algorithm development and validation.
- Strong analytical and debugging skills for solving complex problems.
- Additional advantages include experience with learning-focused or hybrid planning algorithms and optimizing software for embedded processors or GPU accelerators.
Work Environment
Join LionsBot to contribute to significant operational advancements while enhancing robotic innovation in a fast-growing scaleup environment where analytical thinking and problem-solving skills thrive.