Research Intern- Autonomous Perception & Navigation Systems

As a Research Intern at our company, you will have the opportunity to work on cutting-edge AI and machine learning projects focused on autonomous UAV perception and navigation. Your main responsibilities will include: - Supporting research and prototyping of AI/ML algorithms for perception, tracking, localization, and navigation. - Working on multi-sensor fusion to combine visual, inertial, and positional data for enhanced environmental understanding. - Training and testing computer vision or deep learning models for detection, motion estimation, and environmental understanding. - Utilizing high-fidelity simulations with physics-based environments to create datasets and test autonomy pipelines. - Assisting in the integration of perception and navigation modules into flight-control or hardware-in-the-loop setups. - Optimizing real-time inference and video/data streaming pipelines for embedded AI systems. To excel in this role, you should possess the following skills and qualifications: - Strong foundation in deep learning, computer vision, and state estimation. - Understanding of object detection, tracking, SLAM, and sensor-fusion techniques. - Proficiency in Python and familiarity with PyTorch/TensorFlow and OpenCV. - Experience working on Linux environments and basic knowledge of C++. - Familiarity with simulation tools such as Gazebo, Webots, Isaac Sim, and autopilot frameworks like PX4 and ArduPilot. By joining our team, you will gain valuable experience in AI-driven autonomous navigation and perception systems, simulation-driven development, testing of UAV autonomy algorithms, and real-time AI model deployment on embedded hardware. This internship offers you the opportunity to contribute to the advancement of next-generation UAV guidance and autonomy research.,