Job description

As a Simulation Generative 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 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 data and tools. Your work will directly influence the scalability and quality of our simulation and scenario generation systems, unlocking our ability to impact multiple Apple projects. Master’s degree in Computer Science or related field, or equivalent practical experience. Strong programming skills in Python, with solid software engineering fundamentals. Experience creating 3D data with generative models, especially in coordination with traditional approaches. Experience with 3D graphics or game engines, including topics such as rendering, animation, scene graphs, or content pipelines. Ability to work collaboratively with cross-functional partners including engineers, artists, and researchers. Strong communication skills. Familiarity with USD and it’s APIs Programming experience in C++ Experience with real-time simulation and game engines (Unreal, Unity , Godot, Omniverse, custom engines). Experience with real-time and offline rendering, ray tracing, lighting, or shading. Familiarity with MaterialX Familiarity with machine learning workflows, especially perception tasks, generative models, or VLMs. Knowledge of physics simulation, sensor simulation, or physically-based modeling. Experience with industrial/commercial simulation tools or large-scale data pipelines

Requirements

Must-haves

Master’s degree in Computer Science or related field, or equivalent practical experience.
Strong programming skills in Python, with solid software engineering fundamentals.
Experience creating 3D data with generative models, especially in coordination with traditional approaches.
Experience with 3D graphics or game engines, including topics such as rendering, animation, scene graphs, or content pipelines.
Ability to work collaboratively with cross-functional partners including engineers, artists, and researchers.
Strong communication skills.
Familiarity with USD and it’s APIs
Programming experience in C++
Experience with real-time simulation and game engines (Unreal, Unity , Godot, Omniverse, custom engines).
Experience with real-time and offline rendering, ray tracing, lighting, or shading.
Familiarity with MaterialX
Familiarity with machine learning workflows, especially perception tasks, generative models, or VLMs.
Knowledge of physics simulation, sensor simulation, or physically-based modeling.
Experience with industrial/commercial simulation tools or large-scale data pipelines

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpythonmachine learning

Platform: apple
Effort: medium