Robotics Engineer / Applied Research Scientist — Embodied AI

Responsibilities: • Develop robot control drivers, APIs, and low-level infrastructure for robotic arms, dexterous hands, sensors, and cameras.• Build scalable data acquisition and demonstration pipelines spanning teleoperation, multimodal sensing, data processing, and dataset management.• Research and develop learned robot policies, including vision-language-action (VLA) models, diffusion policies, and world action models (WAMs); apply imitation learning and reinforcement learning to policy training.• Train, evaluate, and deploy learned policies for complex manipulation and real-world tasks.• Translate robotics and AI research into reliable systems for commercial environments.

Qualifications: • Strong background in robotics, machine learning, computer vision, or control.• Experience with Python/C++, ROS/ROS2, robot control, or manipulation systems.• Hands-on experience with PyTorch or comparable deep-learning frameworks.• Familiarity with imitation learning, VLA models, diffusion models, reinforcement learning, or robotics foundation models is highly desirable.• MS/PhD in Robotics, Computer Science, Electrical Engineering, AI, or a related field preferred, or equivalent practical experience.