2026 Intern, On Device Physical AI (Summer) at Samsung… · Mountain…

Summary: Samsung Research America (SRA) is focused on building high performance on-device physical AI systems. In this role, the intern will research machine learning computation and real-time vision pipelines, working closely with the robotics team to innovate and integrate efficient AI models for autonomous systems. Responsibilities: - Conduct research on end-to-end machine learning computation and real-time vision pipelines specifically for physical AI and robotics - Design, innovate, and test efficient, on-device physical AI model systems and training pipelines (focusing on VLM and VLA architectures) - Implement system architectures that deliver low-power, low-latency control for autonomous systems - Develop and support adaptive in-scene logic to enhance the capabilities of autonomous robotics - Perform on-device and embedded system programming, utilizing skills in kernel optimization and instruction set programming - Work closely with the Samsung robotics team to integrate these new AI models into physical systems (potentially utilizing ROS, but prior ROS experiences not required) Required Qualifications: - Currently pursuing a Ph.D. in a relevant technology field at a top ranked university (e.g. Computer Science, Electrical Engineering, other etc.), or Masters with prior relevant industrial experiences - Machine learning computation system or parallel computing for VLM and/or VLA - Prior exposure to robotics simulation experience (Issac Sim, mujoco, etc.) - System architecture (memory, computation) and ML model architecture - On device and/or embedded system programming - Real-time computer vision system, ideally, with 3D real-time vision experiences - In-context learning and/or spatial reasoning research - Good communication skills and good team player Preferred Qualifications: - Solid understanding of real time vision pipelines, latency tight architectures for autonomous control is a plus - Prior in-context learning and/or spatial reasoning research is a plus - Strong system programming skills, including kernel optimizations, instruction set programming, real-time/embedded programming skills, plus - Worked on physical AI or robotics systems and are familiar with ROS is a plus - Prior publications on the topic is a plus (ICML, ICLR, CVPR, ICCV, ICRA, RSS) Required Skills: Machine learning computation, On-device programming, Real-time computer vision Important Skills: Robotics simulation experience, System architecture, In-context learning Nice-to-Have Skills: communication skills, Team player Internship Start Date: Start in 2026 Summer Benefits: Annual bonus eligibility, Generous benefits to help you live life well