GPU Design Engineer, Memory Hierarchy

Apple Inc

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k
This role $255k
$129k $346k
below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $177,050–$235,750 — the blue band above. At the midpoint, this role pays about $255k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

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 3595 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2772 roles with salary data.

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At a glance

TL;DR · GPU Design Engineer, Memory Hierarchy

As a GPU Design Engineer – Memory Hierarchy within the Silicon Technologies group, you will join the GPU Memory Hierarchy Design team to develop next-generation, high-performance, and power-efficient system-on-chip processors. Your primary responsibilities include specifying new micro-architectures, optimizing existing ones, and performing analysis on specific workloads across various product categories to identify bottlenecks and opportunities for improvement. You will build architectural models to assess feasibility and refine ideas while collaborating to boost overall team efficiency. The role requires expertise in CPU or GPU architecture, specifically regarding caches, memory subsystems, on-chip interconnect networks, data compression, or GPU pipelines. Required technical skills include Verilog, System Verilog, and HDL, along with proficiency in C/C++, Python, Perl, or Ruby for scripting and RTL modeling.

What you'll do

  • Specify new micro-architectures and optimize existing ones for high-performance, power-efficient processors.
  • Analyze specific workloads across product categories to identify performance bottlenecks and improvement opportunities.
  • Build and develop architectural models to assess the feasibility of new hardware ideas.
  • Design and manufacture next-generation system-on-chip (SoC) components.
  • Develop solutions for cache, memory subsystems, on-chip interconnect networks, or data compression.
  • Create RTL or architectural models to refine hardware designs.
  • Implement high-performance, low-power designs using Verilog, System Verilog, or HDL.

What we're looking for

  • Minimum of a BS degree and 10+ years of relevant experience.
  • Experience with CPU or GPU architecture and micro-architecture concepts.
  • Experience in cache, memory subsystem, on-chip interconnect network, data compression, or GPU pipeline.
  • Knowledge in C/C++ (preferred).
  • Experience in scripting languages such as Perl, Python, and Ruby (preferred).
  • Proficiency in high performance, low power designs (preferred).
  • Proficiency in Verilog/System Verilog and HDL (preferred).
  • Hands-on experience with RTL or architectural modeling (preferred).

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