Sr. Applied & Research Scientist - Safe Autonomy Frontiers (SAF) Lab, Safe Autonomy Frontiers (SAF) Lab
Core
Develop and deploy foundational research and hardware validation for safe autonomy on highly dynamic robots, bridging control theory, learning, and perception.
Role type
Senior Applied & Research Scientist (Safe Autonomy)
Builds
Universal safety layers for next-generation robotic systems (mobile robots, manipulators, quadrupeds, humanoids)
Domain
Robotics, Control Theory, Machine Learning
Deliverable
production ML models
Required skills
Control Barrier Functions (CBF), Safe Reinforcement Learning, Layered Safety Filters, Physics Simulators (Isaac Gym/Sim, MuJoCo, PyBullet), C++, Python, Hardware Deployment
Preferred skills
Legged Locomotion, Whole-Body Control, Hamilton-Jacobi Reachability, Safety-Constrained RL, Model-Based Control (MPC, QP), Perception (LiDAR, Sensor Fusion), Hierarchical RL, Real-time Deployment Constraints
Technologies
C++, Python, Isaac Gym/Sim, MuJoCo, PyBullet, ROS (implied by robotics context), GPU Clusters
Responsibilities
Advance safe autonomy science from formal foundations to hardware integration; Test and validate hardware for locomotion, manipulation, and loco-manipulation; Publish research at top-tier robotics and ML venues; Collaborate with production teams to deploy research at Amazon scale
Seniority
Senior, hands-on IC