Robotic Systems Engineer

Highlights

• Own full lifecycle of robotic embodiments for embodied AI research.
• Deploy vision-language-action models on real robots for real tasks.
• Build VR teleoperation systems to enable scalable robot data collection.

Ideal candidate

A hands-on roboticist who thrives owning complex hardware-software systems end-to-end and keeping real robots running to accelerate embodied AI research.

Requirements

• BS, MS, or PhD in Robotics, Computer Science, Electrical or Mechanical Engineering, or equivalent practical experience
• Strong system-level understanding of robotics hardware, firmware, and software layers
• Proficiency in Python and/or C++ for production robotics systems
• Hands-on experience integrating and debugging robots that operate in the physical world
• Experience with robotics frameworks and tooling (e.g., ROS / ROS2, simulation environments)
• Comfort working across perception, control, and infrastructure boundaries
• Strong debugging instincts and an ownership mindset for complex, cross-disciplinary systems