worldlabs

Pipeline Engineer (3D Data)

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At a Glance

Location
San Francisco
Experience
6+ years
Posted
2026-02-17T18:46:12-05:00

Key Requirements

Required Skills

Data EngineeringKubernetesPython

Domain Knowledge

  • Engineering

Requirements

6+ years of experience

building and operating large-scale data pipelines, especially with a focus on

3D, graphics, or simulation data

, with deep experience designing

scalable, distributed services

in production.

Compensation & Benefits

In accordance with California law, we disclose the following:

Pay Range

$250k-$350k base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)

Total Compensation

Base salary plus equity awards and annual performance bonus

Salary History

Responsibilities

We’re looking for a 3D Data Pipeline Engineer to design, build, and operate the core systems that enable high-quality 3D data processing, synthetic data generation, and rendering across our products. This is a hands-on role for someone who is passionate about large-scale 3D data, system performance, and delivering reliable data pipelines to power our product features.

You’ll work closely with product engineers, 3D artists, and research scientists to design efficient, robust, and scalable data pipeline capabilities—while keeping data integrity and performance high in a fast-moving startup environment.

Design, build, and operate

automated pipelines for 3D data ingestion, cleaning, processing, validation, and delivery that sit on the critical path for model training.

Own foundational capabilities for

About the Company

World Labs is an AI research and development company focused on creating

spatially intelligent systems

that can model, reason, and act in the real world. We believe the next generation of AI will not live only in text or pixels, but in

three-dimensional, dynamic environments

—and we are building the core models to make that possible.

Our team brings together expertise across machine learning, robotics, computer vision, simulation, and systems engineering. We operate with the urgency of a startup and the ambition of a research lab, tackling long-horizon problems that demand creativity, rigor, and resilience.