2026 Intern, Robot Intelligence (Spring/Summer/Fall)

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 advanced students and early-career researchers who have solid technical skills and rich academic 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:

• Research and develop deep learning algorithms and system towards generalizing robots to perform tasks in the real world
• Generate patents and scientific research papers for top-tier publications
• Work with team to develop and optimize robotics foundation models, vision-language-action (VLA) models, and vision language models (VLMs) for embodied intelligence
• Work with team to explore novel techniques, device interfaces, and policy architectures to train robotic vision-language-action (VLA) models effectively with limited available data
• Work within cross-functional, cross-divisional teams and assist in the design, analysis, and performance evaluation from concept to completion

Required Skills:

• Currently pursuing a PhD degree in EECS/Robotics
• Solid understanding of computer vision techniques (e.g., object detection, segmentation, tracking) and real-time video tokenizer design and multi-view image processing
• Demonstrated experience in robotics foundation models, vision-language-action (VLA) models, and vision language models (VLMs)
• Strong research experience with embodied intelligence (reinforcement learning, imitation learning, task planning, perception, simulation platforms such as MuJoCo and Isaac Sim)
• Familiarity with PyTorch, TensorFlow, C, C++, Java, ROS, and CUDA
• Excellent verbal communication and writing skills to effectively represent the derived results and technical concepts developed in the course of the work