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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