Robotics Engineer, Teleoperation

Skild AI • San Mateo, CA

2d

About The Position

We are seeking a Robotics Engineer to own our teleop systems. Teleoperation is a key source of the data that trains our models, and you will make it more reliable and capable over time. You will be the first point of contact when teleop issues block data collection, and you will continuously evaluate and integrate the latest teleop hardware and software, from VR headsets and trackers to retargeting methods, robot end-effectors, and beyond. You will work at the frontier of robot teleoperation, helping define how humans teach robots at scale. This is a hands-on role at the center of our data engine. You will work closely with ML, robotics, and data operations teams, as well as the operators who collect data every day.

Requirements

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency in Python and C++.
• Experience developing or debugging software on real robots.
• Experience with teleoperation, VR/AR (e.g., OpenXR, Unity), or motion capture systems.
• Experience with video streaming systems (e.g., GStreamer) and basic computer vision principles.
• Familiarity with robot kinematics, inverse kinematics, and motion retargeting.
• Experience with Linux, networking, and ROS/ROS2 or similar robotics middleware.

Nice To Haves

• Experience with dexterous hands, humanoids, or other high-DoF robots is a plus.

Responsibilities

• Triage and fix teleop issues that block data collection, from tracking and retargeting to latency and data recording.
• Build tools and monitoring that catch teleop failures before they cost collection time.
• Evaluate and integrate new teleop hardware and software, including VR headsets, glove and body trackers, and retargeting methods.
• Benchmark robot end-effectors for teleoperation performance and data quality.
• Work with operators to make teleop faster, more reliable, and easier to use.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level