Core Responsibilities
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Design and develop real-time SLAM (Simultaneous Localization and Mapping) pipelines for autonomous mobile robots (AMRs).
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Implement localization, mapping, and navigation algorithms using C++ and Python.
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Integrate and fuse data from LiDAR, cameras, IMUs, and other onboard sensors.
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Optimize perception and mapping systems for low-latency, real-time robotic operation.
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Develop and maintain robust software for navigation in dynamic and complex environments.
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Collaborate with robotics, controls, and software teams to integrate SLAM into the AMR stack.
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Debug, test, and validate SLAM performance in both simulation and real-world deployments.
Technical Requirements
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Strong proficiency in C++ and Python.
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Hands-on experience with SLAM frameworks such as ORB-SLAM, RTAB-Map, Cartographer, or similar.
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Knowledge of sensor fusion techniques involving LiDAR, vision, IMU, and odometry data.
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Experience with computer vision, localization, and robotic perception systems.
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Familiarity with robotic middleware, real-time systems, and multithreaded programming.
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Understanding of navigation, path planning, and autonomous robotics concepts.
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Experience with Linux-based development environments and version control tools such as Git.
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Strong debugging, performance optimization, and problem-solving skills.
Job Category: Engineering
Job Type: Internship
Job Location: Indore