Staff Robot Learning Engineer
Core
Design and implement state-of-the-art learning-based algorithms and robotic systems to bridge the gap between simulation and real-world deployment for advanced robotic capabilities.
Role type
Staff Robot Learning Engineer
Builds
Robotic software frameworks, simulation environments, and deployable implementations for the Emerging Tech Hub.
Domain
Robotics, Artificial Intelligence, Simulation
Deliverable
production ML models
Required skills
Reinforcement Learning, Imitation Learning, Motion Planning, Control Algorithms, Optimization Techniques, Perception Systems, Simulation Environments, Synthetic Data Generation, ROS/ROS2, PyTorch, TensorFlow
Preferred skills
Ph.D. in Robotics/CS/EE, Track record of publications in top conferences (RSS, NeurIPS, ICML, ICLR, CoRL, ICRA, IROS)
Technologies
NVIDIA Isaac Sim, MuJoCo, ROS, ROS2, PyTorch, TensorFlow
Responsibilities
Develop AI algorithms for robotic manipulation, motion planning, perception, and control; Integrate and calibrate perception systems with robotic platforms; Create simulation environments and evaluation frameworks; Establish data requirements and design data collection workflows; Collaborate with AI researchers to translate algorithms into robust software implementations.
Seniority
Staff, hands-on IC with strategic scope
