Tools and Automation Engineer, Media, Graphics, and Compute Technologies

Apple Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$144,600–$263,800 / yr
Posted
1 day ago
Freshness
Confirmed live today

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Competitive pay

How this pay compares to similar roles

Similar $207k
This role $204k
$130k $278k
below market most similar roles pay here above market

This role pays more than 53% of similar roles. Most pay $177,287–$235,750 — the blue band above. At the midpoint, this role pays about $204k versus about $207k 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 3532 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2761 roles with salary data.

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At a glance

TL;DR · Tools and Automation Engineer, Media, Graphics, and Compute Technologies

The Tools and Automation Engineer - Media, Graphics, and Compute Technologies joins the Media Graphics and Compute Technologies team to enhance the GPU and developer experience. This role involves leading quality engineering strategy for GPU Drivers, designing automation frameworks, and building infrastructure to support scalable testing for new hardware and software features. Key responsibilities include developing AI-enabled tools, driving presubmission testing, and managing CI/CD integrations. The candidate must utilize Python, Swift, C/C++, and Unix-based operating systems while applying knowledge of data structures, algorithms, and version control systems like Git. The work focuses on validating the GPU driver stack, graphics and compute APIs such as Vulkan and DirectX, and ensuring high-quality software components through sophisticated automation and manual exploratory testing within the software development life cycle.

What you'll do

  • Lead QE strategy and define test plans, test cases, and coverage analysis for GPU Driver technologies.
  • Design and implement automation frameworks and tools to support manual and automated testing workflows.
  • Build and maintain QE infrastructure, including CI/CD integration for automated test execution.
  • Develop AI-enabled tools and methodologies to improve test efficiency and coverage.
  • Drive critical presubmission testing and validation of GPU Drivers to catch issues before integration.
  • Conduct exploratory testing to identify edge cases that automated tests might miss.
  • Collaborate with hardware and software teams to develop quality and tooling strategies for new features.
  • Mentor team members on QE best practices, automation techniques, and tool development.

What we're looking for

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
  • Demonstrated ability in software development with a focus on tools and test automation.
  • Proven experience in both QE methodology and test automation development.
  • Strong experience developing test plans, test cases, and test strategies for complex software systems.
  • Experience leading quality efforts and influencing cross-functional teams.
  • Proficiency with Unix-based operating systems and command-line interface tools.
  • Experience in Python; Swift is a plus (preferred).
  • Experience with GPU technologies, graphics and compute APIs, or GPU driver development/testing (preferred).

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