Job Responsibilities

Develop and implement UAV autonomy algorithms for path planning, obstacle avoidance, and basic collaborative behaviors using VIO and SLAM-based approaches.
Integrate and test perception and navigation algorithms in simulation and real flight environments.
Work closely with embedded, avionics, and systems teams to ensure seamless integration of robotics algorithms with UAV hardware.
Perform debugging, tuning, and performance optimization of robotics software during bench tests and field trials.
Assist in preparing technical documentation, including system architecture, algorithm flow, test results, and integration notes.
Support continuous improvement of UAV autonomy features based on test feedback and operational requirements.

Skills & Competencies

23 years of hands-on experience in robotics, UAV systems, or autonomous platforms.
Proficiency in Python and working knowledge of Lua scripting.
Practical experience with ROS 2 and robotics middleware tools.
Working knowledge of V-SLAM, VIO (Visual Inertial Odometry), and Visual Obstacle Avoidance techniques.
Experience interfacing with robotic hardware and sensors, including cameras, IMUs, GPS, and LiDAR.
Exposure to deploying robotics or AI software on embedded platforms such as NVIDIA Jetson (Nano/Xavier) or Snapdragon-based systems.
Understanding of path planning and motion planning algorithms used in mobile robotics or UAVs.
Strong fundamentals in algorithms, data structures, and object-oriented programming.
Basic to intermediate experience with machine learning and computer vision algorithms relevant to robotics applications.
Familiarity with UAV flight stacks such as PX4, Ardupilot, or Pixhawk.

UAV Robotics Engineer