Senior Applied Scientist
Core
Design and implement whole-body control methods for balance, locomotion, and dexterous manipulation in advanced robotics systems.
Role type
Senior Applied Scientist (Robotics & Control Systems)
Builds
Adaptable automation solutions capable of working safely alongside humans in dynamic environments
Domain
Robotics, AI, Control Systems
Deliverable
production ML models
Required skills
whole-body control, learned control, model-based control, real-time controller implementation, state estimation, imitation learning, reinforcement learning, simulation environments, deep learning
Preferred skills
low-level joint torque/impedance control, robotics frameworks for fast prototyping, large scale distributed systems
Technologies
IsaacLab, Mujoco, Drake, ROS, Matlab, Tensorflow, numpy, scipy, Spark
Responsibilities
Design and implement whole body control methods for balance, locomotion, and dexterous manipulation; Utilize state-of-the-art methods in learned and model-based control; Create robust and safe behaviors for different terrains and tasks; Implement real-time controllers with stability guarantees; Collaborate with multi-disciplinary teams to co-design hardware and algorithms; Mentor junior engineers and scientists