Senior Software Engineer - Robot Data Collection
About the role
Role Overview
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.
Project Details
Location: 100% Onsite (Santa Clara, CA, US)
Employment: Full-time W-2, Monday–Friday, 9:00 AM–5:00 PM (5 days/week)
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.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
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In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Responsibilities
- Design, build, and maintain the software behind data collection stations
- Deploy and upgrade the software stack across the fleet
- Own the data pipeline end to end
- Build QA tooling for data quality
- Direct a team of teleoperators and define task protocols
- Own fleet reliability and calibration processes
- Report throughput and data health to the research team
Qualifications
- MS in CS, Robotics, EE/ME, or related field, or BS with equivalent experience
- 3+ years building software for real robot systems
- Experience with Python, Linux, Docker, git, CI, and SSH-based fleet administration
- Familiarity with robot middleware and real-time multi-sensor recording
- Experience supporting data collection or teleoperation operations
- Ability to lead operators and communicate effectively
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.