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Skild AI is building general-purpose robotic intelligence that is robust and adapts to unseen scenarios. The company uses data-driven machine learning at scale to unlock widespread robot deployment.
You will own the teleoperation systems that generate critical training data for the company's models. This is a hands-on, central role in the data engine. You will be the first point of contact when teleop issues block data collection and will continuously evaluate and integrate the latest teleop hardware and software—from VR headsets and trackers to retargeting methods and robot end-effectors.
Key responsibilities include:
- Triage and fix teleop issues (tracking, retargeting, latency, data recording) that block data collection
- Build tools and monitoring systems to catch teleop failures before they impact 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 directly with data operators to make teleop faster, more reliable, and easier to use
You will collaborate closely with ML, robotics, and data operations teams, as well as the operators who collect data daily. This role sits at the frontier of robot teleoperation, helping define how humans teach robots at scale.
QUALIFICATIONS:
- BS, MS, or higher degree in Computer Science, Robotics, Engineering, or 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
- Experience with dexterous hands, humanoids, or other high-DoF robots is a plus
