Senior / Lead Robotics Engineer – Architecture & AI Integration

Location : Coimbatore / Chennai / Bengaluru

Experience: 4 – 8 years

Role Purpose

To design and own the end-to-end architecture for autonomous robotic scanning, path planning, and AI-driven perception systems. The lead engineer will architect modular ROS pipelines, integrate multi-sensor data, and guide a team toward production-grade automation.

Key Responsibilities

• Architect and optimize ROS / MoveIt motion-planning pipelines for multi-axis robots.
• Integrate depth cameras, vision systems, and sensors for autonomous waypoint generation.
• Design and implement AI-based path planning (coverage / next-best-view / adaptive scanning).
• Lead hand–eye calibration, coordinate frame setup, and sensor-fusion pipelines.
• Oversee simulation validation and deployment in virtual and real robotic cells.
• Develop Python / C++ ROS nodes for trajectory generation, cloud merging, and robot control.
• Integrate Open3D / PCL / Poisson / Marching Cubes for surface reconstruction and STL creation.
• Collaborate with AI/ML and 3D teams for automated 3D workflows.
• Mentor junior engineers, standardize practices, and drive continuous improvement.
• Deliver a stable autonomous scanning and path-planning system.
• Establish a sensor-to-mesh data pipeline integrated with 3D workflows.
• Standardize a reusable robotic automation framework for scaling across multiple systems.
• Mentor team and publish technical documentation / best practices.

Required Skills

• Expertise in ROS 1 / ROS 2, MoveIt, and robot control frameworks.
• Strong in Python and C++ development for robotics.
• Experience with 6-DOF robots and multi-sensor calibration workflows.
• Proficiency in 3D data processing (Open3D, PCL, meshing algorithms).
• Familiarity with simulation / digital-twin environments (Gazebo, Webots, RoboDK).
• Understanding of AI/ML integration (PyTorch / TensorFlow / OpenCV preferred).
• Strong grounding in robot kinematics, motion control, and system architecture.

Job Type: Full-time

Pay: ₹11,344.56 - ₹54,537.46 per month

Work Location: In person