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

📌 Intern - Robotics (Computer Vision) (Indore)
🏢 CastNX
📍 Indore