Senior / Lead Robotics Engineer – Architecture & AI Integration
5 days ago
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, ₹54,537.46 per month
Work Location: In person
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