GPU Drivers & Metal Test Engineer

At Apple, we believe excellent ideas have a way of becoming extraordinary products with unique customer experiences at the highest quality. We believe when you bring passion and dedication to your job, there's no telling what you could accomplish! The people here at Apple don't just build products - they craft the kind of wonder that's revolutionized entire industries.

The Graphics, Games & Machine Learning team is looking for a self-motivated Test Engineer with expertise in both testing strategy and automation development to help shape our next generation products. This role requires an energetic and motivated individual with strong communication, organization, and technical skills who works well in a fast-paced dynamic environment.

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.","responsibilities":"Drive QA strategy and develop comprehensive test plans, test cases, and test coverage analysis for GPU Driver and Metal technologies

Perform critical presubmission testing and validation of GPU Drivers

Design and implement test automation frameworks and tools to support both manual and automated testing workflows

Develop AI-enabled testing methodologies to improve test efficiency and coverage

Build and maintain QA infrastructure, including CI/CD integration for automated test execution

Conduct exploratory testing to identify edge cases and issues that automated tests might miss

Collaborate with hardware and software engineering teams to understand new features and develop appropriate test strategies

Communicate test results, quality metrics, and risks clearly to technical and non-technical stakeholders

Mentor team members on testing best practices and automation techniques

Contribute to continuous improvement of QA processes and methodologies

Preferred Qualifications

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

Knowledge of AI/ML techniques and their application to software testing

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

Minimum Qualifications

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