GPU Drivers & Metal Test Engineer - Media, Graphics, Games, Compute, & Machine Learning Technologies
Apple· Consumer Technology· Oct 27, 2026 · 1d ago
Cupertino, California, United States
In office
Full-time
Mid
$124K–$218K
Job description
The Graphics, Games and Machine Learning Test Engineering organization is seeking an expert, self-motivated Test Engineer with a real passion for making the GPU and graphics experience on our products the best it can be. You will work with emerging GPU technologies at Apple, ensuring that we successfully bring these technologies to our customers at the industry-leading bar we've established.
In this role, you will wear multiple hats; driving comprehensive test strategy, developing test automation, and building tools to support both new HW and SW features.
You will be responsible for Quality Leadership; Drive effective QA conversations with cross-functional teams to develop comprehensive test plans and test cases for GPU Driver and Metal testing. Act as a quality warrior, championing excellence throughout the development lifecycle.
Strategic Testing; design and execute presubmission testing for GPU Drivers, ensuring critical issues are caught before integration. Develop test strategies that balance manual exploratory testing with automated coverage.
Innovation in Testing; be proactive in developing AI-enabled testing methodologies and novel approaches to validate the software components that make up the GPU driver stack. Think creatively about how to expand test coverage and automation effectiveness.
Automation Development; build, maintain, and enhance automation frameworks and tools that enable scalable, reliable testing. Develop sophisticated test automation to support both new HW and SW features.
As a successful candidate, you should have a strong aptitude for learning new technologies, excellent interpersonal and communication skills, and the ability to drive sophisticated and challenging projects. You should be equally comfortable discussing test strategy with stakeholders as you are writing code to automate complex test scenarios. Strong collaboration with engineering teams and an ability to thrive under pressure are key skills required to succeed in this role.
Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
Proven experience in both manual testing/QA methodology and test automation development
Strong experience developing test plans, test cases, and test strategies for complex software systems
Demonstrated ability in software development with a focus on tools and test automation
Proficiency with Unix-based operating systems (e.g., Linux, macOS) and command-line interface (CLI) tools
Experience in Python; Swift is a plus
Strong debugging, troubleshooting, and analytical skills
Excellent communication and collaboration skills with ability to work effectively with cross-functional teams
Knowledge of fundamental data structures, algorithms, and software design principles
Knowledge of AI/ML techniques and their application to software testing
Familiarity with the complete software development life cycle (SDLC), including requirements, design, development, testing, and deployment
Experience with version control systems (e.g., Git)
Experience with GPU technologies, graphics APIs (Metal, Vulkan, DirectX), or GPU driver development/testing
Proven experience in developing and maintaining QA infrastructure and automation frameworks
Experience with C/C++ programming
Experience with white-box testing methodologies and code coverage analysis
Experience with system-level debugging and performance analysis tools
Understanding of computer architecture and low-level hardware interaction
Background in developing custom test tools and frameworks from scratch
Application prep
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Keywords to mirror
machine learningaipythonswiftml
- Platform
- apple
- Effort
- medium