Intern – Robotics (Computer Vision)

Job Description:

Responsibilities

• Design and develop real-time SLAM (Simultaneous Localization and Mapping) pipelines for autonomous mobile robots (AMRs).
• Implement localization, mapping, and navigation algorithms using C++ and Python.
• Integrate and fuse data from LiDAR, cameras, IMUs, and other onboard sensors.
• Optimize perception and mapping systems for low-latency, real-time robotic operation.
• Develop and maintain robust software for navigation in dynamic and complex environments.
• Collaborate with robotics, controls, and software teams to integrate SLAM into the AMR stack.
• Debug, test, and validate SLAM performance in both simulation and real-world deployments.

Qualification & Experience   

• Strong proficiency in C++ and Python.
• Hands-on experience with SLAM frameworks such as ORB-SLAM, RTAB-Map, Cartographer, or similar.
• Knowledge of sensor fusion techniques involving LiDAR, vision, IMU, and odometry data.
• Experience with computer vision, localization, and robotic perception systems.
• Familiarity with robotic middleware, real-time systems, and multithreaded programming.
• Understanding of navigation, path planning, and autonomous robotics concepts.
• Experience with Linux-based development environments and version control tools such as Git.
• Strong debugging, performance optimization, and problem-solving skills.