GPU Performance Engineer, Platform Architecture

Apple Inc

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$225,300 / yr
Posted
139 days ago
Freshness
Confirmed live yesterday

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Competitive pay

How this pay compares to similar roles

Similar $211k
This role $188k
$138k most similar roles pay here $263k

This role pays less than 65% of similar roles. Most pay $178,375–$244,000 — the shaded band above. At the midpoint, this role pays about $188k versus about $211k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · GPU Performance Engineer, Platform Architecture

GPU Performance Engineer, Platform Architecture joins the Platform Architecture GPU Modeling team to drive advanced exploration for next-generation GPU architectures in iPhone, iPad, and Mac products. This role involves creating and maintaining a high-performance C++ model of future GPUs while coding and debugging performance and functional models. The engineer will implement modern hardware features including machine learning for AI, ray tracing, and mesh shading. Key responsibilities include ensuring model accuracy, performing feature validation, correlating against RTL, and analyzing large datasets to propose architectural changes. Required skills include proficiency in C++, scripting languages like Python or Ruby, and experience with data analysis tools such as Tableau, pandas, Excel, and matplotlib. The role focuses on the technical challenge of assessing hardware feasibility and tuning performance for upcoming graphics and machine learning applications.

What you'll do

  • Develop and maintain high-performance C++ models of next-generation GPU architectures.
  • Code and debug performance and functional models for upcoming hardware.
  • Implement modern hardware features including machine learning, ray tracing, and mesh shading.
  • Ensure model accuracy through feature validation and correlation against RTL and other models.
  • Analyze large datasets generated by models using various data analysis tools.
  • Conduct performance experiments to assess the feasibility of new hardware and software features.
  • Propose architectural changes based on analyzed results and experimental data.

What we're looking for

  • Bachelor's degree or higher (MS or PhD preferred).
  • Experience writing and debugging C++ code.
  • Experience with scripting languages such as Python or Ruby.
  • 3+ years of experience modeling GPUs, CPUs, or similar architectures.
  • Understanding of GPU/CPU architectures and components like processing cores, caches, and memory hierarchies.
  • Experience debugging performance issues and correlating multiple models.
  • Proficiency with data analysis tools such as Tableau, pandas, Excel, or matplotlib.
  • Experience with machine learning, graphics applications, games, or benchmarks.

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