Simulation Generative Data Engineer

What you'll do

• Build and operate pipelines to generate 3D assets, scenes, and scenarios from text, images, video, or sensor data.
• Create 3D assets and scenes optimized for both offline and real-time rendering.
• Design and implement prototypes and production systems to expand simulation scenario variety.
• Develop tools, APIs, and reusable components to automate workflows for other teams.
• Integrate generative models with procedural techniques to create high-quality synthetic data.
• Integrate new technologies into existing internal tools and pipelines across the organization.
• Monitor and incorporate advancements in rendering, generative models, and vision-language models into production.

What we're looking for

• Master's degree in Computer Science or a related field, or equivalent practical experience.
• Strong programming skills in Python with solid software engineering fundamentals.
• Experience creating 3D data with generative models in coordination with traditional approaches.
• Experience with 3D graphics or game engines including rendering, animation, scene graphs, or content pipelines.
• Familiarity with USD and its APIs.
• Ability to work collaboratively with cross-functional partners such as engineers, artists, and researchers.
• Strong communication skills.
• Programming experience in C++, real-time/offline rendering, MaterialX, machine learning workflows, physics simulation, or large-scale data pipelines (preferred).