Simulation Synthetic Data Engineer, Special Projects

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
52 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k
This role $255k
$132k $345k
below market most similar roles pay here above market

This role pays more than 90% of similar roles. Most pay $158,225–$242,212 — the blue band above. At the midpoint, this role pays about $255k versus about $200k for comparable roles.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3631 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2844 roles with salary data.

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TL;DR · Simulation Synthetic Data Engineer, Special Projects

JOB TITLE: Simulation Synthetic Data Engineer - Special Projects The Simulation Synthetic Data Engineer - Special Projects joins a team focused on developing next-generation simulation technology to power various AI/ML efforts. This role involves building, enhancing, and operating tools and pipelines for scenario creation, simulation execution, and the generation of annotated 3D and multi-modal synthetic datasets. The engineer will design prototypes, production systems, and reusable APIs to transform creative intent into scalable pipelines for generating and validating scenarios. Key technical requirements include proficiency in Python, software engineering fundamentals, and experience with 3D graphics, game engines, and machine learning workflows like generative models or VLMs. The work involves leveraging procedural systems and rendering techniques to solve the problem of creating high-quality, diverse datasets that directly influence model performance across multiple product areas.

What you'll do

  • Build and operate pipelines for scenario creation and the generation of annotated 3D synthetic datasets.
  • Design and implement production systems and prototypes to expand the capabilities of the simulation stack.
  • Deliver validated datasets using procedural systems, generative models, and scene variation tools.
  • Develop tools, APIs, and reusable components to automate simulation workflows for other teams.
  • Transform creative intent into scalable pipelines for generating and validating diverse scenarios.
  • Research and integrate new advances in rendering, generative models, and synthetic data into existing workflows.

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, especially 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, or other modern 3D content standards (preferred).

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