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We are seeking a highly hands-on and driven Robotics R&D Engineer to design and develop next-generation Autonomous Mobile Robots (AGV/AMR) with integrated manipulation capabilities. This role involves complete system ownership — from concept design, simulation, and prototyping to integration, testing, and real-world deployment. The ideal candidate is a true system builder who enjoys solving complex electromechanical challenges across mechanical, embedded, and software domains.
Job Responsibility:
Design and develop AMR/AGV platforms with robotic manipulation capabilities
Develop and optimize ROS2-based navigation and control stacks
Implement SLAM, localization, and path planning algorithms
Develop and validate mobility, stability, and motion control algorithms
Integrate LiDAR (2D/3D), IMU, encoders, and depth cameras
Implement sensor fusion techniques for accurate localization and mapping
Develop autonomous navigation stacks for structured and semi-structured environments
Integrate actuators, motor drivers, controllers, and embedded systems
Work with Raspberry Pi, STM32, ESP32, or similar platforms
Perform hardware–software debugging and system-level troubleshooting
Lead rapid prototyping, including mechanical and electronic validation
Conduct simulations using Gazebo / NVIDIA Isaac Sim / Webots prior to deployment
Perform real-world testing, validation, and performance optimization
Ensure system robustness through iterative tuning and refinement
Maintain detailed documentation of architecture, schematics, simulations, and code
Demonstrate system capabilities to stakeholders and incorporate feedback
Requirements:
B.E./B.Tech / M.E./M.Tech in Robotics, Mechatronics, Mechanical, ECE, or related field
Strong proficiency in C++ and Python
Hands-on experience with ROS / ROS2
Experience working on Linux-based robotic systems
Understanding of SLAM, localization, and path planning
Experience integrating LiDAR, IMU, encoders, and depth cameras
Autonomous navigation stack implementation
Sensor fusion fundamentals
Experience with Raspberry Pi / STM32 / ESP32
Basic embedded firmware knowledge
Strong fundamentals in control systems (PID, kinematics, dynamics)
Experience with Gazebo / NVIDIA Isaac Sim / Webots
Nice to have:
SolidWorks mechanical design experience
PCB design (Altium / KiCad / Eagle)
Matlab/Simulink for control modeling
ABB RobotStudio or industrial robotic arm programming