Robot Infrastructure Engineer - Collection Tooling

What you'll do

• Build teleoperation and operator tools, episode workflows, and actionable collection-quality checks for real robots.
• Create specifications and adapters to validate partner data; preserve raw recordings and make normalization and export reproducible.
• Test tools on hardware and provide collection progress, setup, and troubleshooting documentation.

What they ask for

• 1+ years of professional experience.
• Bachelor's degree in Computer Science, Software Engineering, or equivalent; the posting also separately states a Bachelor's degree in Mechatronics, Mechanical Engineering, or equivalent.
• Built and hardware-validated data collection, teleoperation, sensor recording, or human-in-the-loop tooling for real robots or autonomous systems.
• Strong Python skills and software engineering fundamentals; experience with multimodal time-series data and working knowledge of coordinate frames, sensor calibration, and data provenance.

Nice to have

• Experience with ROS 2, MCAP, LeRobot, HDF5, or robotics dataset adapters.
• Experience with VR teleoperation, leader-follower systems, motion retargeting, haptics, or takeover-based learning.

Pay

$150K – $300K USD base salary; equity also offered, amount not stated.

Tools

Python, ROS 2, MCAP, LeRobot, HDF5

AI focus

Supports robot learning by capturing demonstrations and human corrections, validating collection data, and preparing reproducible training data.