Applied Scientist, Frontier AI & Robotics (FAR)

Lead independent research across the robotics stack, spanning co-design, dexterous manipulation, actuation, state estimation, low-level control, system identification, reinforcement learning, and sim-to-real transfer, as well as foundation models for perception and manipulation.
Drive full-stack robotics projects from concept to deployment, taking a system-level approach that harmonizes hardware considerations with algorithmic development.
Develop and optimize control algorithms and sensing pipelines to deliver robust performance in production environments.
Collaborate with platform and hardware teams to ensure seamless integration across the entire robotics stack.
Shape technical strategy and contribute to next-generation robotics challenges.
Leverage large compute resources to prototype at scale and translate theoretical insights into practical robotic systems.