Role Summary
We are seeking an AI Robotics Engineer to design, develop, and optimize intelligent robotic systems powered by real-time perception, 3D vision, and AI-driven decision making. You will work across robotics software, sensor fusion, and machine learning to build robots that see, understand, and act autonomously.

Key Responsibilities1. Perception & 3D Vision

Develop and optimize algorithms for 3D reconstruction, SLAM, object detection, pose estimation, and spatial mapping.
Integrate stereo cameras, depth sensors, LiDAR, and 3D capture modules.
Implement sensor fusion pipelines combining vision, IMUs, and other feedback signals.
Work with real-time 3D model processing (meshing, point cloud filtering, ICP, segmentation).

2. Robotics Control & Autonomy

Build motion planning, path optimization, and task-level autonomy engines.
Develop control algorithms for manipulators, cobots, AMRs, and custom robotic systems.
Implement low-latency middleware using ROS/ROS2, microcontrollers, or RTOS.

3. AI & Machine Learning

Design AI models for robot decision-making, anomaly detection, action prediction, and behavior planning.
Optimize ML models for on-device deployment (GPU, NPU, FPGA, or ASIC environments).
Work with multimodal inputs: video, depth, IMU, force-torque, and 3D geometry.

4. Systems Integration

Integrate AI modules with hardware: cameras, motor controllers, PLCs, microcontrollers, and embedded boards.
Collaborate with mechanical, electrical, and software teams to deliver production-ready robotic systems.
Test, calibrate, and validate systems in real industrial or field environments.

Required Qualifications

BS/MS/PhD in Robotics, Computer Vision, Mechanical Engineering, Electrical Engineering, or related field.
Strong programming in Python and C++.
Experience with:
ROS/ROS2, SLAM systems, 3D vision libraries (OpenCV, PCL, Open3D)
Deep learning frameworks: PyTorch / TensorFlow
Real-time embedded development and optimization
Solid understanding of kinematics, dynamics, control theory, and state estimation.

Preferred Experience

Worked on industrial robotics, welding automation, material handling, or cobot applications.
Experience with FPGA, GPU, or NPU-based acceleration.
Understanding of edge AI deployment and model compression (quantization, TensorRT, ONNX runtime).
Familiarity with 3D capture, 4K spatial cameras, and millimeter-level precision systems.

Job Type: Full-time

Pay: ₹1,000,000.00 - ₹2,000,000.00 per year

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