Simulation Synthetic Data Engineer, Special Projects

What you'll do

• Build and operate tools and pipelines for scenario creation and the generation of annotated 3D multi-modal synthetic datasets.
• Design and implement prototypes, proofs-of-concept, and production systems to expand simulation stack capabilities.
• Deliver high-quality, validated datasets using procedural systems, generative models, and scene variation tools.
• Transform creative intent from artists into scalable pipelines for generating, varying, and validating scenarios.
• Develop APIs and reusable components to automate simulation workflows for other internal teams.
• Integrate advanced techniques in rendering, physics simulation, and sensor modeling into the production pipeline.
• Research and implement new advancements in generative models, VLMs, and synthetic data technologies.

What we're looking for

• Master's degree in Computer Science or related field, or equivalent practical experience.
• Strong programming skills in Python with solid software engineering fundamentals.
• Experience with 3D graphics or game engines including rendering, animation, scene graphs, or content pipelines.
• Familiarity with machine learning workflows, specifically perception tasks, generative models, or VLMs.
• Ability to work collaboratively with cross-functional partners and strong communication skills.
• Programming experience in C++ (preferred).
• Experience with real-time simulation engines such as Unreal, Unity, Godot, Omniverse, or custom engines (preferred).
• Familiarity with USD, MaterialX, rendering techniques, physics simulation, or large-scale data pipelines (preferred).