Simulation Synthetic Data Engineer - Special Projects

As a Simulation Synthetic Data Engineer, you will help develop next-generation simulation technology powering a broad range of AI/ML efforts at Apple. You will work on highly ambitious projects that transform ideas into production tools and datasets used across the organization to develop new Apple products.

We're looking for an engineer who is both practical and inventive-comfortable extending existing simulation frameworks, experimenting with new approaches, and iterating quickly from prototype to high-quality implementation. You will collaborate closely with engineers, technical artists, animators, and research teams to deliver scalable pipelines and compelling synthetic data. Your work will directly influence dataset quality and model performance across multiple product areas.

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 topics such as rendering, animation, scene graphs, or content pipelines.

Familiarity with machine learning workflows, especially perception tasks, generative models, or VLMs.

Ability to work collaboratively with cross-functional partners including engineers, artists, and researchers; strong communication skills.

Programming experience in C++

Experience with real-time simulation engines (Unreal, Unity, Godot, Omniverse, custom engines).

Familiarity with USD, MaterialX, or other modern 3D content standards.

Experience with real-time and offline rendering, ray tracing, lighting, or shading.

Knowledge of physics simulation, sensor simulation, or physically-based modeling.

Experience with industrial/commercial simulation tools or large-scale data pipelines.