Principle Roboticist, Robot Foundation Model
Core
Building foundation models for general-purpose robots (mobile manipulators, dual-arm, humanoids) that can perceive, reason, move, and manipulate the physical world.
Role type
Principal Roboticist (Robot Foundation Model)
Builds
Intelligent embodied agents, robot hardware platforms, control/planning software, and robotics data flywheel infrastructure.
Domain
Robotics, Embodied AI, Machine Learning
Deliverable
production ML models
Required skills
Robot manipulation, Robot hardware integration, C++, Python, ROS/ROS2, Control systems, Motion planning, Machine Learning, Experiment design, Data strategy
Preferred skills
Leading robotics efforts, Training/deploying learned robot policies, Top-tier conference publications (ICRA, CoRL, IROS), PhD
Technologies
C++, Python, ROS, ROS2
Responsibilities
Build and maintain robot hardware platforms; Develop robot software for control and planning; Create infrastructure for policy deployment and data collection; Run real-world robot experiments; Debug hardware, software, and policy failures; Shape technical direction across robotics and ML.
Seniority
Principal, hands-on IC with strategy & mentorship
