GPU Kernel & Firmware Engineer, Graphics, Games, & ML

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
17 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k
This role $255k
$142k most similar roles pay here $344k

This role pays more than 85% of similar roles. Most pay $177,300–$242,312 — the shaded band above. At the midpoint, this role pays about $255k versus about $210k 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 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 Kernel & Firmware Engineer, Graphics, Games, & ML

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As a GPU Kernel & Firmware Engineer within the Graphics, Games, & ML organization, you will join the GPU Kernel/Firmware team to develop low-level software powering graphics, machine learning, and compute experiences across the entire product lineup. You will be responsible for designing and building kernel and firmware drivers that connect the operating system to the GPU. Your daily work involves developing features for memory management, power management, asynchronous command processing, and error concealment to ensure reliable, high-performance performance for games and image processing. This role requires expert knowledge of computer system architecture and proficiency in C/C++. You will collaborate with cross-functional teams to integrate these components into the graphics platform, ultimately maximizing compute potential on iOS and macOS while driving hardware and software roadmap decisions specifically for machine learning acceleration.

Skills

C C++ GPU Architecture Firmware Memory Management Power Management Machine Learning Graphics iOS macOS Computer System Architecture Control Theory Asynchronous Command Processing

What you'll do

  • Design and build kernel and firmware drivers for the GPU.
  • Develop memory management features for GPU kernel and firmware components.
  • Implement power management capabilities across the entire GPU software stack.
  • Build asynchronous command processing systems for various GPU workloads.
  • Design error concealment mechanisms to improve driver reliability.
  • Drive hardware and software roadmap decisions specifically for ML acceleration.
  • Integrate kernel and firmware into the graphics platform to maximize performance on iOS and macOS.

What we're looking for

  • 5 plus years of strong programming skills in C/C++.
  • Solid understanding of computer system architecture.
  • Experience with driver development or operating system concepts.
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent work experience.
  • Master's degree in Computer Science, Computer Engineering, or a related technical field (preferred).
  • Experience with power management and control theory (preferred).
  • Experience with GPU architecture or graphics/compute driver development (preferred).

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