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About the role
Core 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. Technical Requirements - Robust 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. Job Category: Engineering Job Type: Internship Job Location: Indore .