Robotics Developer Perception and AI

About the Role

We are looking for a Robotics Developer with strong experience in camera-based perception, deep learning, and up-to-date vision-language models.

You will work on real-world autonomous robots operating in dynamic environments. The role involves deploying and optimizing camera systems, building perception pipelines, integrating deep-learning models, and exploring Vision-Language Models (VLMs) and Vision-Language-Action models (VLAs) for robotic decision-making and interaction.

This is a hands-on engineering role requiring experience moving systems from prototypes and research environments to reliable deployment on physical robots.

Key Responsibilities
- Develop, deploy, and maintain camera-based perception systems on autonomous robots.
- Integrate monocular, stereo, depth, USB, MIPI, GMSL, or similar camera systems.
- Build and optimize camera pipelines using tools such as GStreamer, OpenCV, ROS, and NVIDIA multimedia frameworks.
- Diagnose camera, driver, synchronization, latency, frame-drop, and hardware-interface issues.




- Develop deep-learning models for object detection, segmentation, tracking, depth estimation, scene understanding, and anomaly detection.
- Train, fine-tune, evaluate, and deploy neural-network models on edge-compute platforms.
- Work with Vision-Language Models for scene interpretation, semantic reasoning, operator assistance, and robot-task understanding.
- Explore and integrate Vision-Language-Action models and multimodal policies for robotic applications.
- Build datasets, annotation pipelines, evaluation frameworks, and model-monitoring tools.
- Optimize models using TensorRT, ONNX, CUDA, quantization, pruning, or other acceleration techniques.
- Integrate perception and AI components with ROS-based navigation and control systems.
- Profile and optimize CPU, GPU, memory, latency, and power consumption on embedded hardware.
- Conduct testing on physical robots and support field deployments.

📌 Robotics Developer (Noida)
🏢 Ottonomy Io
📍 Noida