Simulation Generative Data Engineer

What you'll do

• Build and operate generative and procedural pipelines for 3D assets, scenes, and scenarios using text, images, video, or sensor data.
• Create prototypes and production systems for simulation scenarios, including assets for offline or real-time rendering.
• Develop reusable tools, APIs, and components, integrating workflows with existing Apple tools and pipelines.

What they ask for

• Master’s degree in Computer Science or related field, or equivalent practical experience.
• Strong Python programming skills and solid software engineering fundamentals.
• Experience creating 3D data with generative models, especially alongside traditional approaches.
• Experience with 3D graphics or game engines; familiarity with USD and its APIs.

Nice to have

• Programming experience in C++; experience with real-time simulation and game engines.
• Experience with rendering or ray tracing; familiarity with MaterialX, machine learning workflows, physics simulation, or large-scale data pipelines.

Pay

$184,700 and $324,800 (base salary)

Tools

Python, USD, C++, Unreal, Unity, Godot, Omniverse, MaterialX

AI focus

Develops generative-model pipelines and simulation technology to create synthetic data for AI/ML efforts; the posting also mentions generative models and VLMs.