Stability Quality Engineer - Data Center Systems Quality
Apple · Sunnyvale
About The Role
Do you want to shape the reliability of data center technologies that power Apple’s most ambitious infrastructure and services? Our Product Systems Quality organization plays a critical role in ensuring Apple delivers data center systems that are not only innovative, but exceptionally stable, reliable, and optimized for large-scale deployment. We work at the intersection of hardware and software, partnering closely with engineering teams to uncover risk early, influence design decisions, and help bring world-class data center platforms to life.
Our Stability Quality Engineering team is highly technical and focused on system-level stability and stress validation of customized data center platforms. As a Stability Quality Engineer, you'll join us in designing and executing hardware-centric software tests that surface low-level issues in CPUs, components, and subsystems. Your contributions will directly influence product readiness decisions and help define the quality bar for Apple's data center infrastructure.
Come join our team!
## Description
As a Stability Quality Engineer focused on Data Center projects, you'll play a key role in ensuring the reliability and performance of Apple's data center systems at scale. You'll plan, develop, and execute system and rack-level stability and stress tests with a strong focus on hardware-centric software risks. Working across multiple systems, you'll design automated tests, collaborate with hardware and software engineering partners, and conduct deep technical investigations to identify and mitigate system-level risks in large-scale deployment environments.
## Minimum qualifications
Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent degree
3+ years of experience in hardware/software test engineering with demonstrated focus on system validation or data center environments
Hands-on experience with modern CPU architecture and microarchitecture concepts demonstrated through previous work on processor-level debugging or validation projects
Proficiency with Unix-based operating systems and scripting automation using languages such as Python, Ruby, Swift, or JavaScript & experience developing or executing test automation frameworks and methodologies at scale
Proven ability to design and execute comprehensive validation test plans, work independently and collaboratively with cross-functional engineering teams, and deliver results in concurrent multi-system environments
## Preferred qualifications
Master's or PhD in Electrical Engineering, Computer Science, Computer Engineering, or equivalent degree
Experience with hardware bring-up, debug, and troubleshooting in data center or server environments, including using stress tools and benchmarks, and factory processes such as burn-in or qualification testing
Developed and maintained automation frameworks and tools that expand test coverage in complex system environments and support large-scale validation
Experience with data visualization tools (such as Tableau) and AI-powered tools or agents for test development and data analysis
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