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Staff Research Engineer, Robot Intelligence

Samsung Research America·US·665 Clyde Avenue, Mountain View, CA, USA·senior
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Lab Summary: The Robot Intelligence Lab at Samsung Research America is a new facility dedicated to advancing the field of robotics through cutting-edge research and development. The lab’s mission is to develop advanced technologies to power intelligent robotic systems capable of manipulation, navigation, and complex reasoning for a variety of high-impact application areas. To achieve this mission, the lab collaborates closely with external entities such as universities, startups, and government labs, as well as with several Samsung Product and Advanced Research labs. Position Summary: Samsung Research America is looking for an engineer who has solid technical skills and rich academic and/or industry experience in areas of robotics and embodied intelligence. Our ideal candidate explores novel AI technologies towards generalizing robots to perform tasks in the real world. Samsung’s unique advantage in the consumer electronics market and growing focus on AI and robotics will provide you with exciting technical challenges and a rewarding career experience. By leveraging Samsung’s vast product ecosystem to deliver novel user experiences, your work will define Samsung’s future in robotics and significantly impact real-world users. Position Responsibilities: Design and evaluate the suitability of robotic hardware, sensors, and software for applications in semi-structured and unstructured environments targeting high impact business areas Integrate sensors, actuators and other component into proof-of-concept/prototype robotic systems and analyze and optimize robotic system performance and accuracy Design, develop, integrate and test algorithms for robot perception, control, learning, navigation, and manipulation Develop and deploy data collection and model management mechanisms for in-the wild data aggregation Work within cross-functional, cross-divisional teams and assist in the design, analysis and performance evaluation from concept to completion Document and present resu