Research Scientist II
Core
Develop and deploy safe autonomy science for highly dynamic robots, bridging control barrier function theory, safe reinforcement learning, and layered safety filters to enable robots to operate safely around humans.
Role type
Research Scientist II (Safe Autonomy)
Builds
Next-generation robotic systems (mobile robots, manipulators, quadrupeds, humanoids) with universal safety layers.
Domain
Robotics, Control Theory, Machine Learning
Deliverable
production ML models
Required skills
Control Barrier Functions (CBF), Safe Reinforcement Learning, Physics Simulators (Isaac Gym/Sim, MuJoCo, PyBullet), C++, Python, Nonlinear Control, Legged Locomotion, Whole-body Control, Perception (LiDAR, depth-camera), Model-based Control (MPC, QP)
Preferred skills
Hamilton-Jacobi reachability, Safety-constrained RL, Hierarchical RL, Real-time deployment constraints, Distributed RL training infrastructure
Technologies
C++, Python, Isaac Gym/Sim, MuJoCo, PyBullet, MPC, QP controllers
Responsibilities
Advance safe autonomy 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