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 | product features
Required skills
whole-body control, learned control, model-based control, real-time controller implementation, state estimation, imitation learning, reinforcement learning, simulation environments
Preferred skills
low-level joint torque/impedance control, robotics frameworks for fast prototyping, large scale distributed systems
Technologies
IsaacLab, Mujoco, Drake, Java, C++, Python, Tensorflow, numpy, scipy, ROS, Matlab, Hadoop, 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 engineer and scientists
