Principal Applied Scientist, Mobile Manipulation Robotics
Core
Design and ship whole-body motion planners and controllers for the Phoenix mobile manipulation robot to enable autonomous manipulation in fulfillment environments.
Role type
Principal Applied Scientist (Mobile Manipulation Robotics)
Builds
Motion planning pipelines, real-time controllers, and safety architectures for the Phoenix robot.
Domain
Robotics, Mobile Manipulation, Warehouse Automation
Deliverable
production ML models | product features
Required skills
Whole-body planning, trajectory optimization, QP-based control, model-predictive control, Control Barrier Functions, real-time controller deployment, technical strategy influence
Preferred skills
Python, C++, top-tier research publications, real-time perception on edge hardware, foundation models for robotics
Technologies
Python, C++, QP, MPC, CBF
Responsibilities
Architect whole-body motion planning pipelines, develop and tune real-time controllers, integrate controllers with mainline systems, ensure trajectory quality for downstream foundation model training, extend safety architecture
Seniority
Principal, hands-on IC & strategy
