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Data Infrastructure, Data Engineering, Managed Services, IT Consulting

Senior Software Engineer - Robot Data Collection

Santa Clara, CAOnsiteFull TimeSeniorPosted 1 month agoVisa sponsorship available

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Required skills

  • Python
  • Linux
  • Docker
  • git
  • CI
  • SSH
  • ROS 2
  • teleoperation
  • multi-sensor recording
  • robot hardware

Nice to have

  • Unitree
  • Fourier
  • ALOHA/ARX
  • XR teleoperation
  • Quest
  • PICO

Role summary

Seeking a Senior Software Engineer to own and develop systems for a large-scale robot data collection operation. Responsibilities include designing and maintaining the teleoperation stack, data pipeline, and fleet infrastructure. The role involves directing a team of teleoperators, building QA tools, and ensuring fleet reliability. Requires 3+ years of experience in robotics software development, strong Python and Linux skills, and familiarity with Docker, git, CI, and SSH. Experience with ROS 2 or equivalent middleware, real-time multi-sensor recording, and robot hardware integration is essential. The position is a 12-month contract in Santa Clara, CA.

Role Overview

We are looking for a Senior Software Engineer to own the systems that power a large-scale data collection operation, including the collection platform, operator tooling, data pipeline, and fleet infrastructure.

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.

Project Details

  • Location: 100% Onsite (Santa Clara, CA, US)
  • Employment: Full-time W-2, Monday–Friday, 9:00 AM–5:00 PM
  • Start Date: ASAP
  • Contract Duration: 12-month contract with possibility of extension
  • Rate: $105/hour

What You'll Do

  • 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.

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.
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