Join Skild AI as a Robotics Engineer to enhance teleoperation systems for data collection and robot training.
Posted by employer 13 hours ago
First seen on Joblaze 10 hours ago
Last verified on the company career page 10 hours ago
What you'll build
- Triage and fix teleop issues
- Build tools and monitoring for teleop failures
- Evaluate and integrate new teleop hardware and software
- Benchmark robot end-effectors
- Work with operators to improve teleop
Must have
- Proficiency in Python and C++
- Experience developing or debugging software on real robots
Nice to have
- Experience with teleoperation, VR/AR
- Experience with video streaming systems
- Familiarity with robot kinematics
- Experience with Linux, networking, and ROS/ROS2
- Experience with dexterous hands or humanoids
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, seniority, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Robotics Engineer focuses on enhancing teleoperation systems that are crucial for data collection and model training. Key skills include proficiency in Python and C++, along with experience in teleoperation, VR/AR technologies, and robotics middleware like ROS. This position is well-suited for individuals with a background in robotics or engineering, particularly those who have hands-on experience with real robots and teleoperation systems. The engineer will collaborate closely with various teams to ensure the reliability and efficiency of teleoperation processes.
Joblaze insights
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AR, C++, Gstreamer, Linux, OpenXR, Python.
- Is this full-time or contract?
- Full-time for this Robotics Engineer, Teleoperation role at Skild AI.
From the original posting
Company Overview
Position Overview
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.
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.
Preferred Qualifications
- 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.
- Experience with dexterous hands, humanoids, or other high-DoF robots is a plus.
Standard company text repeated across Skild AI's postings is omitted here.
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