Tech Stack

Description

You will design and deploy learning-driven mission-level autonomy systems for humanoid robots, enabling robust operation in real-world environments. Collaborate with Perception, Navigation, Controls, and RL teams to integrate and validate autonomy frameworks on physical robots.

Requirements

• MS/PhD in Robotics, CS, or related field
• 2+ years experience in robot autonomy or learning-based robotic systems
• Strong proficiency in modern C++ and Python in Linux
• Experience integrating learning-based policies into real robot systems
• Experience with ROS 2 and modular robot software design

Responsibilities

• Design and implement mission-level autonomy systems using learning-based decision making
• Develop policy execution, monitoring, and coordination layers integrating learning-based components with classical subsystems
• Implement recovery, fallback, and safety mechanisms for reliable real-world operation
• Integrate trained policies from RL team into real-time robot software stacks
• Validate autonomy systems in simulation and on physical humanoid robots