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

- 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.

- Robust debugging, performance optimization, and problem-solving skills.

Job Category: Engineering

Job Type: Internship

Job Location: Indore

📌 Intern – Robotics (Computer Vision) (India)
🏢 CastNX
📍 India