Lead AMR Development

Almighty Hrd Consultants; Coimbatore District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Almighty Hrd Consultants in Coimbatore seeks a Lead – AMR Development to drive end-to-end autonomous mobile robot projects. The role requires guiding architecture, sensors, perception and navigation, plus cross-disciplinary collaboration across hardware and software teams.

The candidate should have 7–10 years in product development, including 5 years in autonomous or robotic systems, with strong ROS/ROS2 and embedded software expertise.

Qualifications

• 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.

Responsibilities

• Lead the end-to-end development of AMR systems from concept to deployment.
• Define the AMR system architecture, including sensors, control systems and interfaces.
• Guide teams in perception, localization, mapping, path planning and obstacle avoidance.
• Oversee embedded control software, motion planning and safety systems.
• Collaborate with hardware, software and mechanical teams for integration and optimization.
• Define testing protocols for navigation accuracy, payload handling and safety compliance.
• Ensure compliance with safety standards and support prototyping and production releases.
• Mentor cross-functional teams to scale AMR solutions across applications.

Skills

Robot kinematics

Motion planning

Control systems

Embedded software

Sensor fusion

ROS/ROS2

CAN/Ethernet/Wi-Fi/BLE

Gazebo/RViz

MATLAB/Simulink

Education

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

Tools

ROS/ROS2

Gazebo

RViz

MATLAB/Simulink

Job description

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.