Senior Software Engineer - Robot Data Collection

Welocalize; Santa Clara (CA); Presencial; USD 124.000 - 165.000; Jornada completa

Descripción de la vacante

Welocalize is seeking a Senior Software Engineer to own the systems powering a large-scale data collection operation in Santa Clara, CA. You will design, deploy, and maintain the teleoperation stack, data pipeline, and fleet tooling, while directing a team of teleoperators daily.

The role requires 3+ years building real robot software, strong Python/Linux, ROS 2, and experience shipping observable, reliable systems.

Formación

• MS in CS, Robotics, EE/ME, or 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.

Responsabilidades

• 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.

Conocimientos

Python

Linux

Docker

Git

CI

SSH-based fleet administration

ROS 2

Data pipelines

Team leadership

Educación

MS in CS, Robotics, EE/ME or BS with hands-on experience

Herramientas

ROS 2

Vendor SDKs

Descripción del empleo

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.