Senior Robotics AI Engineer (Robotics Skills is a Must Have)
Summary
Designs and implements AI/ML algorithms for autonomous AGVs, covering navigation, obstacle avoidance, SLAM, motion planning, and computer vision with LiDAR/camera sensors. Day to day involves cross-team integration, simulations and field tests, and sensor data analysis, using Python/C++, ROS, TensorFlow/PyTorch, and OpenCV.
About the role
Design and implement machine learning and AI algorithms to enable autonomous navigation, obstacle avoidance, and decision-making for AGVs. Collaborate with hardware and software teams to integrate AI solutions into AGV systems seamlessly, and develop algorithms for SLAM (Simultaneous Localization and Mapping) and motion planning to optimize AGV performance in dynamic environments.
Key responsibilities
Design and implement machine learning and AI algorithms to enable autonomous navigation, obstacle avoidance, and decision-making for AGVs
Collaborate with hardware and software teams to integrate AI solutions into AGV systems seamlessly
Develop algorithms for SLAM (Simultaneous Localization and Mapping) and motion planning to optimize AGV performance in dynamic environments
Build computer vision systems for object detection, recognition, and environment perception using cameras, LiDAR, or other sensors
Conduct simulations and field tests to validate AGV performance, troubleshoot issues, and ensure system reliability
Stay updated with the latest trends in robotics and AI to drive innovation in Meraque's AGV solutions
Collect and analyze sensor data to improve system performance and decision-making
Create detailed technical documentation, including system designs, algorithms, and testing protocols
About you
Bachelor's or Master's degree in Robotics, Artificial Intelligence, Computer Science, Mechatronics, or a related field
Minimum 2–4 years of experience in AI, robotics, or autonomous systems development
Proficiency in Python, C++, or ROS (Robot Operating System)
Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and AI techniques
Hands-on experience with SLAM algorithms, path planning, and real-time control systems
Familiarity with computer vision libraries (e.g., OpenCV) and sensor integration (e.g., LiDAR, cameras, IMUs)
Understanding of embedded systems and hardware-software integration
Strong problem-solving and analytical skills
Ability to work collaboratively in a multidisciplinary team
Excellent communication and technical documentation skills