Robotics Navigation Engineer/ Intern

Location: Pune, Maharashtra

About the Role

We are looking for passionate engineers interested in developing autonomous navigation systems for AMRs, mobile robots, and advanced robotic platforms. This role is available for Interns as well.

Key Responsibilities

• Develop autonomous navigation systems for AMRs and mobile robots.
• Implement 2D and 3D robot navigation and path planning.
• Work on SLAM (Simultaneous Localization and Mapping).
• LiDAR-based mapping, localization, and navigation.
• Integrate 2D/3D LiDAR, RGB-D cameras, depth cameras, IMUs, GPS, and odometry sensors.
• Develop sensor fusion algorithms for accurate localization.
• Implement obstacle detection, classification, tracking, and avoidance.
• Develop global and local path planning algorithms.
• Work on trajectory planning and real-time motion control.
• Implement autonomous exploration and waypoint navigation.
• Develop navigation in dynamic and unknown environments.
• Work on point cloud processing and 3D environment reconstruction.
• Implement loop closure, map optimization, and relocalization.
• Develop terrain analysis and traversability estimation for mobile robots.
• Perform simulation, real-world testing, and navigation system validation.

What You'll Work On

• Autonomous Mobile Robots (AMRs).
• 2D and 3D autonomous navigation.
• LiDAR and vision-based navigation.
• Multi-sensor fusion and intelligent localization.
• Autonomous navigation for quadruped and other robotic platforms.
• Real-world autonomous robotics research, development, and deployment.

Requirements & Tech Stack

• Programming in Python and C++.
• Working knowledge of ROS 2.
• Understanding of Nav2 and MoveIt 2.
• Knowledge of SLAM algorithms such as Cartographer, SLAM Toolbox, ORB-SLAM3, or RTAB-Map.
• Understanding of localization techniques such as AMCL, EKF, and sensor fusion.
• Knowledge of path planning algorithms: A Dijkstra*, RRT, *RRT *, and Hybrid A.
• Understanding of point clouds, PCL, Open3D, and OpenCV.
• Familiarity with Gazebo / Isaac Sim / RViz.
• Understanding of coordinate frames, TF/TF2, odometry, and kinematics.

Good to Have

• Experience with Nav2, Behavior Trees, and autonomous exploration.
• Knowledge of Visual SLAM, LiDAR SLAM, and Visual-Inertial Odometry.
• Experience with NVIDIA Jetson platforms and GPU-based perception.
• Understanding of 3D occupancy maps, OctoMap, and voxel mapping.
• Experience with multi-sensor calibration and synchronization.
• Knowledge of AI-based perception and vision-based navigation.

Eligibility

• B.E./B.Tech/M.Tech students or graduates in Robotics, Mechanical, Electronics, Computer Science, or related engineering fields.
• We value practical implementation, strong fundamentals, experimentation, and hands-on robotics experience.

Interested candidates can share their updated resumes along with GitHub profiles or details of robotics projects on [email protected].