About the Role

We are looking for two highly motivated and hands-on Robotics AI Interns to join our research and development team. In this role, you will work at the cutting edge of physical AI, developing advanced software pipelines that enable intelligent systems to perceive their environments with high fidelity and execute complex, autonomous tasks.

This internship is designed for individuals who want to bridge the gap between state-of-the-art computer vision algorithms, modern deep learning architectures, and physical (or simulated) robotic platforms.

Core Responsibilities

You will collaborate with our engineering team to develop, test, and deploy software across our perception and autonomy stacks:
- Advanced Perception Spatial Computing : Design and implement robust algorithms for environment reconstruction, scene understanding, and sensor processing. You will manipulate real-time data from depth sensors (RGB-D, LiDAR) to create spatial awareness for our platforms.
- Embodied AI Intelligent Control : Develop, train,



and deploy advanced learning-based policies for robotic systems. You will focus on multi-modal intelligence, enabling agents to translate complex sensory inputs into accurate autonomous actions.
- Simulation Physical Deployment : Build, configure, and utilize simulation environments (e.g., Isaac Sim, MuJoCo, PyBullet) to train and validate perception and control pipelines before deploying code onto hardware.
- Systems Integration: Benchmark, optimize, and integrate deep learning models with classic robotics frameworks to ensure real-time, low-latency performance.

Technical Requirements
- Education: Pursuing a BS, MS, or PhD in Robotics, Computer Science, Computer Engineering, or a related technical field.
- Computer Vision 3D Processing: Strong hands-on experience with OpenCV for image processing and PCL (Point Cloud Library) or Open3D for point cloud filtering, segmentation, and registration. Solid grasp of 3D geometry and coordinate transforma

📌 R&D Robotics (Noida)
🏢 Ottonomy Io
📍 Noida