Designing, building, and integrating robotic systems including motor control, sensor integration, and actuator mechanisms for inDispense Kiosks; Working heavily with embedded systems for robotic control and automation; Participating in a small team environment to implement any modifications to support a fast-growing business; Performing motion planning, machine vision, sensor fusion, and electromechanical system design; Developing complex robotic and electromechanical systems; Performing testing and validation to improve detection reliability prior to deployment; Working with JavaScript for implementation within the machine application; Refining the detection pipeline to improve robustness across varying machine configurations and camera conditions; Using YOLO-based object detection to identify and localize carts in camera images as port of the inspection workflow; Programming robotic control, stepper motors, servos, sensors, webcams, and assorted hardware and electronics. Job Requirements: Masters Degree in Computer Science, Robotics or a related field and experience, training or coursework involving machine learning, machine vision, neural networks, object detection, pattern matching, image processing, camera calibration, and distortion correction, and; Experience using UI design, Python, React.js, Node.js, MacOS, Git, Github, YOLOV8, CVAT, and OpenCV. Qualified applicants may apply for this position with inDispense, LLC by sending resumes to
Not specified in the original listing.
Not specified in the original listing.
