Pipeline Engineer (3D Data)

<h2><strong>About World Labs:</strong></h2> <p>We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. </p> <p>We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds.</p> <p>We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.</p> <p> </p> <h2><strong>Role Overview</strong></h2> <p>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.</p> <p>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.</p> <p> </p> <h2><strong>What You Will Do:</strong></h2> <ul> <li><strong>Design, build, and operate</strong> automated pipelines for 3D data ingestion, cleaning, processing, validation, and delivery that sit on the critical path for model training.</li> <li>Own foundational capabilities for <strong>synthetic data generation</strong>, including developing tools, workflows, and quality metrics to produce high-fidelity training data at scale.</li> <li><strong>Develop and optimize high-performance rendering systems</strong> and services for real-time visualization and asset generation.</li> <li><strong>Architect and operate distributed data systems</strong> for handling massive volumes of 3D models, textures, and associated metadata, ensuring data consistency and robust failure recovery.</li> <li><strong>Own data quality and production readiness end-to-end</strong>: defining data schemas, implementing quality checks, capacity planning, observability, and continuous improvement for the 3D pipeline.</li> <li><strong>Improve developer and researcher velocity</strong> by building shared abstractions, tooling, and guardrails that reduce the operational and cognitive load of working with 3D assets.</li> <li>Collaborate with cross-functional teams to integrate the 3D data pipeline with other core product platforms and services.</li> <li>Set technical direction, mentor engineers, and <strong>raise the data engineering bar across the product org</strong> with a focus on 3D data.</li> </ul> <h2><strong>Key Qualifications:</strong></h2> <ul> <li><strong>6+ years of experience</strong> building and operating large-scale data pipelines, especially with a focus on <strong>3D, graphics, or simulation data</strong>, with deep experience designing <strong>scalable, distributed services</strong> in production.</li> <li><strong>Strong programming skills in Python and/or C++</strong>, and a solid foundation in data engineering principles and distributed systems architecture.</li> <li>Hands-on experience with <strong>3D data processing libraries, game engines (e.g., Unity, Unreal), or rendering APIs (e.g., OpenGL, Vulkan)</strong>.</li> <li>Experience with cloud-based data storage and processing solutions (e.g., Kubernetes, distributed file systems, data warehouses).</li> <li>Experience working in <strong>fast-moving or startup environments</strong>, ideally having led systems or products from <strong>early design through production and growth</strong>.</li> <li>A high bar for <strong>ownership and execution</strong>: you’re comfortable with am ... (truncated, view full listing at source)