Lead AMR Development

Key Responsibilities:

• Lead the end-to-end development of AMR systemsfrom concept, architecture and

design to testing and deployment.

• Define the AMR system architecture, including sensors, control systems, power

management and communication interfaces.

• Guide teams in developing and integrating key modules such as perception (LiDAR,

cameras, ultrasonic), localization, mapping (SLAM), path planning and obstacle

avoidance.

• Oversee the development of embedded control software, motion control algorithms

and safety systems.

• Collaborate with hardware, software and mechanical teams to ensure seamless

integration and performance optimization.

• Define testing protocols for navigation accuracy, payload handling, battery

performance and safety compliance.

• Ensure compliance with industrial safety standards (e.g., ISO 3691-4, CE and other

relevant norms).

• Support prototyping, pilot runs and production release activities.

• Mentor and build a strong cross-functional team capable of scaling AMR solutions for

various applications.

• Stay abreast of emerging technologies in robotics, AI and sensor fusion and identify

opportunities to leverage them.

Required Skills and Experience:

• Bachelor’s or Master’s degree in Electronics, Mechatronics, Robotics or related field.

• 7–10 years of experience in product development, with at least 5 years in

autonomous or robotic system development.

• Strong understanding of robot kinematics, motion planning, control systems and

embedded software.

JOB Description

Job Title Lead – AMR Development

Location Coimbatore

Qualification Bachelor’s or Master’s degree in Electronics,

Mechatronics, Robotics or related field.

Total Years of Experience 7 - 10 years

• Hands-on experience with SLAM algorithms, ROS / ROS2, navigation stacks and

sensor fusion techniques.

• Exposure to safety-critical design and functional safety concepts.

• Experience in leading multi-disciplinary teams and driving complex projects from

concept to production.

• Knowledge of industrial communication protocols (CAN, Ethernet, Wi-Fi, BLE).

• Familiarity with simulation tools such as Gazebo, RViz, or MATLAB/Simulink.

Preferred Attributes:

• Experience with warehouse automation, logistics robots or AGVs.

• Exposure to AI/ML-based perception systems and cloud integration for fleet

management.

• Strong leadership, decision-making and communication skills.

• Passion for innovation and problem-solving in the field of autonomous systems.