Senior Software Engineer, Robot Data Collection
Welocalize
About the role
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Job Responsibilities:
GEAR Lab builds robot foundation models, trained on data we collect ourselves — every day, on real robots. We are looking for a senior software engineer to own the system behind that operation: the collection platform, the tooling our operators run on, the pipeline the data flows through, and the fleet it all runs on.
This is an engineering role. Day-to-day teleoperation is performed by a dedicated operator team that you direct — you build what they run on, and you own what comes out of it.
What you’ll be doing
Design, build, and maintain the software behind our data collection stations — teleoperation stack, multi-camera recording, and session tooling.
Deploy and upgrade that stack across the fleet without stopping collection; keep workstations, containers, and networking healthy.
Own the data pipeline end to end: automated validation, conversion into our dataset format, upload, metadata, and versioning.
Build the QA tooling that catches dropped frames, stream desync, bad calibration, and mislabeled episodes before data reaches training.
Direct a team of teleoperators — define task protocols and SOPs, onboard them on new tasks and embodiments, review session quality, and unblock them daily.
Own fleet reliability: calibration and firmware pipelines, sensor and end-effector integration, root-cause analysis of recurring faults, and vendor escalation.
Bring up new stations and new embodiments; report throughput, yield, and data health to the research team.
Additional Job Details:
What we need to see
MS in CS, Robotics, EE/ME, or a related field (or BS with equivalent hands-on experience).
3+ years building software for real robot systems — not simulation only.
A system you designed and shipped that other people depended on daily, and that you kept running.
Strong Python and Linux; Docker, git, CI, and SSH-based fleet administration.
Robot middleware and real-time multi-sensor recording — ROS 2 or equivalent vendor SDKs.
Experience supporting a data collection or teleoperation operation: you have built the tools operators depend on and owned throughput and quality numbers.
Comfortable around robot hardware — arms or humanoids, dexterous hands, RGB-D cameras, and the calibration that keeps them honest.
Able to lead operators without formal authority: you write clear SOPs, train people, and communicate status without being asked.
Ways to stand out from the crowd
Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands.
XR teleoperation: Quest / PICO / Vision Pro, motion-capture gloves, whole-body retargeting.
Imitation-learning data tooling — LeRobot, HDF5/Zarr episode stores, dataset versioning, S3 at TB–PB scale.
Built internal dashboards or tooling for a production line or high-throughput lab.
Open-source contributions to robotics data or teleoperation tooling.
Responsibilities
- Build and maintain robot data collection stations, teleoperation tools, and recording software.
- Deploy and upgrade software across the robot fleet while maintaining collection uptime.
- Own the data pipeline, including validation, conversion, uploads, metadata, and versioning.
- Develop quality assurance tools for detecting recording, calibration, and labeling issues.
- Direct and train teleoperators, define procedures, and review session quality.
- Manage fleet reliability, sensor integration, calibration, and troubleshooting.
- Bring up new stations and robot embodiments and report data throughput and quality.
Qualifications
- MS in computer science, robotics, electrical or mechanical engineering, or a related field; or a BS with equivalent hands-on experience.
- At least 3 years building software for real robot systems.
- Experience designing and operating a software system used by others daily.
- Strong Python and Linux skills, plus Docker, Git, CI, and SSH-based fleet administration.
- Experience with ROS 2 or equivalent robotics middleware and real-time multi-sensor recording.
- Experience building tools for data collection or teleoperation operations and owning throughput and quality.
- Comfort working with robot hardware, cameras, sensors, and calibration.
- Ability to write procedures, train operators, and communicate operational status.
Skills mentioned
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale. Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide.
H-1B sponsorship history
Historical employer filing data was found for Welocalize. The employer record includes 4 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.