Develop and deploy AI/ML models for robotic systems using ROS/ROS2 Implement algorithms for computer vision, perception, SLAM, localization, and navigation Integrate ML models with robot sensors (LiDAR, cameras, IMU, GPS) Build and optimize ROS nodes, topics, services, and actions Work with real-time data pipelines and robotic middleware Optimize model performance for edge and embedded systems Collaborate with robotics, hardware, and software teams Perform testing in simulation environments (Gazebo, RViz) and on real robots Document system architecture and workflows Required Skills & Qualifications 3+ years of experience as an AI/ML Engineer or Robotics Engineer Strong hands-on experience with ROS / ROS2 Proficiency in Python and/or C++ Solid understanding of machine learning, deep learning, and AI algorithms Experience in Computer Vision (OpenCV, CNNs) Knowledge of sensor fusion and robotic perception Familiarity with SLAM, path planning, and navigation stacks Experience working with Linux-based systems Good to Have Experience with autonomous robots, AMRs, drones, or robotic arms Knowledge of TensorFlow / PyTorch Experience with edge AI frameworks (NVIDIA Jetson, OpenVINO) Exposure to reinforcement learning for robotics Experience with cloud integration (AWS / Azure / GCP) Understanding of DevOps, Docker, CI/CD for robotics

About Quickhyre AI

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