Simulation Synthetic Data Engineer - Special Projects

Cupertino, CA, US • Posted 15 hours ago • Updated 2 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Innovation
  • Artificial Intelligence
  • Collaboration
  • Research
  • Computer Science
  • Python
  • Software Engineering
  • Animation
  • Machine Learning (ML)
  • Workflow
  • Communication
  • C++
  • Unreal Engine
  • Unity
  • 3D Computer Graphics
  • Real-time
  • Lighting
  • Physics
  • Sensors
  • Modeling

Summary

Play a role in bringing Apple technology to the world. We are looking for a hardworking, dedicated, and results-oriented Synthetic Data Engineer. You would join a team using simulation to generate synthetic data. Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

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.\n\nWe'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.\n Strong programming skills in Python, with solid software engineering fundamentals.\n Experience with 3D graphics or game engines, including topics such as rendering, animation, scene graphs, or content pipelines.\n Familiarity with machine learning workflows, especially perception tasks, generative models, or VLMs.\n Ability to work collaboratively with cross-functional partners including engineers, artists, and researchers; strong communication skills.

Programming experience in C++\nExperience with real-time simulation engines (Unreal, Unity, Godot, Omniverse, custom engines).\n Familiarity with USD, MaterialX, or other modern 3D content standards.\n Experience with real-time and offline rendering, ray tracing, lighting, or shading.\n Knowledge of physics simulation, sensor simulation, or physically-based modeling.\n Experience with industrial/commercial simulation tools or large-scale data pipelines.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 8022c1ef718dfed87c3599131b9960d7
  • Posted 15 hours ago
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