Robotics Software Engineer

Role Overview

We are seeking a hands-on Robotics Software Engineer to develop and improve the mobility

stack of a differential-drive service robot operating in dynamic indoor environments. The role

requires strong coding skills and practical experience solving real-world localization, navigation,

motion-control, and obstacle-avoidance challenges.

Key Responsibilities

• Develop reliable robotics software using ROS 2, C++, and Python.
• Implement and tune SLAM, localization, Nav2, path planning, motion control, costmaps, obstacle avoidance, and recovery behaviours.
• Integrate LiDAR, depth cameras, IMUs, wheel encoders, and motor controllers.
• Resolve odometry drift, TF errors, localization loss, oscillation, blocked paths, and planner or controller failures.
• Ensure safe and smooth navigation around people, tables, chairs, narrow passages, and moving obstacles.
• Test and validate navigation performance on a physical robot.
• Collaborate with embedded, electronics, mechanical, and product teams.

Required Qualifications

• Practical experience with ROS 2, Linux, Nav2, C++, and Python.
• Strong understanding of differential-drive kinematics, odometry, TF2, URDF, SLAM, localization, sensor fusion, and feedback control.
• Ability to debug robot behaviour using RViz, rosbag, logs, and real sensor data.
• Degree in Robotics, Mechatronics, Computer Science, Electronics, Electrical
• Engineering, or a related field; equivalent practical experience is acceptable.

Mandatory Project Experience

• Minimum one completed real-world project involving the mobility or autonomous navigation of a physical differential-drive robot, AMR, AGV, or service robot.
• The candidate must have personally developed, integrated, tuned, or debugged major mobility functions.
• Simulation-only experience is not sufficient.

Preferred Experience

• ROS 2 Jazzy or Humble, SLAM Toolbox, AMCL, robot_localization, and Nav2 behaviour trees.
• NVIDIA Jetson, RPLIDAR, Intel RealSense, CAN communication, and embedded motor controllers.
• Navigation experience in crowded or changing indoor environments.

Application Requirement

Applicants should share details of at least one physical mobile-robot project, including their

contribution, challenges solved, results achieved, and a demonstration video or project link, if available.