GPU Performance Engineer, Platform Architecture

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$220,900 / yr
Posted
41 days ago

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Competitive pay

How this pay compares to similar roles

Similar $206k
This role $184k
$136k most similar roles pay here $254k

This role pays less than 64% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $184k versus about $206k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · GPU Performance Engineer, Platform Architecture

As a Senior GPU Modeling Engineer at the leading edge of hardware innovation, you will join our dynamic and forward-thinking team dedicated to advancing cutting-edge computing technologies. Your primary responsibilities include designing and optimizing complex models for GPUs and CPUs, ensuring they meet performance benchmarks while addressing intricate business challenges. You will collaborate closely with cross-functional teams to troubleshoot issues, enhance system reliability, and drive the development of next-generation hardware solutions. Proficiency in C++, Python, and GPU programming frameworks such as CUDA is essential, along with a deep understanding of parallel computing principles and experience with large-scale simulation tools. This role demands expertise in hardware architecture and a passion for pushing the boundaries of computational capabilities to solve real-world problems at unprecedented scales.

What you'll do

  • Design and optimize GPU models for high-performance computing applications.
  • Analyze system performance to identify bottlenecks in CPU and GPU usage.
  • Develop simulation tools to predict hardware behavior under various workloads.
  • Implement advanced algorithms to enhance the efficiency of parallel processing tasks.
  • Collaborate on the development of new features for next-generation processors.

What we're looking for

  • Bachelor’s degree required.
  • 3+ years of experience in modeling GPUs or CPUs.
  • Strong troubleshooting skills for hardware issues.
  • Experience with similar hardware components preferred.
  • No additional specific certifications required.

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