Software Engineer - Data Center Systems Quality
Apple - Sunnyvale, United States of America
Posted Feb 26, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Engineer - Data Center Systems Quality Sunnyvale, United States of America Do you want to pioneer the future of intelligent quality assurance for data center infrastructure that powers Apple's most ambitious 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 team is focused on developing advanced test automation frameworks and intelligent validation tools for data center systems and rack-scale deployments. We combine machine learning capabilities with deep hardware knowledge to create scalable, automated testing solutions that support Apple's critical infrastructure. As a Software Engineer, you'll join us in building the next generation of automation tools that leverage artificial intelligence and machine learning to predict, and prevent critical hardware and software system failures. Come join our team! As a Software Engineer on our Stability Quality team, you'll design and develop intelligent automation frameworks and tools that enhance data center system validation at scale. You'll combine machine learning capabilities with hardware-centric software testing to create next-generation solutions to find and address issues as early as possible. You'll collaborate with cross-functional engineering and QA teams to identify risks, gather insights from large volumes of test data, and build automated tests to drive system stability. Design and implement
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