Best suited to candidates with real-world robotics experience and strong system ownership skills working in data collection and teleoperation environments.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Weloglobal via Lever
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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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.
Source: Weloglobal careers (Lever)