Qualification and Experience:

Bachelor's degree in Mechatronics/Mechanical Engineering having: Knowledge of robotic algorithms, including localization, navigation, real-time controls, and transforms. Familiarity with Movelt/Solidworks Hands-on experience with actual robots.
Proficiency in Python and C++ for developing, optimizing, and deploying robotic applications. Hands-on experience with ROS2, Micro-ROS, and simulation platforms such as Ignition or Gazebo. Familiarity with ArduPilot systems/MAVROS. Bachelor's degree in Computer/ Software/Mechatronics Engineering having: Familiarity with deploying, optimizing, and performing transfer learning for custom datasets. Hands-on experience with NVIDIA Jetson platforms (Nano, Xavier, Orin) for real-time Al and robotics applications (visual SLAM and visual odometry systems). Strong proficiency in Python and C++ for Al and robotics development. Experience with ROS2 for robotic system integration. Experience with perception sensors, such as depth cameras, stereo cameras, LIDAR, ultrasonic sensors, and TF sensors. Knowledge of ArduPilot systems for robotic applications. Bachelor's degree in Computer/Electronics Engineering having: Expertise in designing, integrating, and implementing practical electronic systems with in-depth knowledge of electronic components. Hands-on experience with STM32 and ESP32 microcontrollers, including firmware development and peripheral integration. Strong debugging skills using tools such as oscilloscopes, logic analyzers, and other diagnostic tools. Experience with edge computing devices like NVIDIA Jetson platforms (Nano, Xavier, Orin) and Raspberry Pl. Hands-on experience with ArduPilot systems and perception sensors.

Instructions:

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