Simulation Synthetic Data Engineer - Special Projects

Apple • Cupertino, CA

4d

About The Position

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 ambitious projects that transform ideas into production tools and datasets used across the organization to develop new Apple products. The role calls for an engineer who can extend existing simulation frameworks, experiment with new approaches, and iterate from prototypes to high-quality implementations. You will collaborate with engineers, technical artists, animators, and research teams to deliver scalable pipelines and compelling synthetic data. Your work will influence dataset quality and model performance across multiple product areas.

Requirements

• Master’s degree in Computer Science or a related field, or equivalent practical experience.
• Strong programming skills in Python and solid software engineering fundamentals.
• Experience with 3D graphics or game engines, including 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.

Nice To Haves

• Programming experience in C++.
• Experience with real-time simulation engines such as Unreal, Unity, Godot, Omniverse, or 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 or commercial simulation tools or large-scale data pipelines.

Responsibilities

• Develop next-generation simulation technology for AI/ML efforts.
• Extend existing simulation frameworks and experiment with new approaches.
• Iterate from prototypes to high-quality implementations.
• Collaborate with engineers, technical artists, animators, and research teams.
• Deliver scalable pipelines and synthetic data.
• Contribute to dataset quality and model performance across multiple product areas.

What This Job Offers

• Job Type: Full-time