Apple
Stability Quality Engineer - Data Center Systems Quality
$145K–$264K
Sunnyvale, California · Full-time · Posted Jun 26, 2026
- Experience
- 3+ years in hardware/software test engineering focused on system validation or data center environments.
- Education
- Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent degree.
About the job
Plans and executes system- and rack-level stability and stress validation for Apple data center platforms, investigates system risks, and informs product readiness decisions.
What you'll do
- Design, develop, and run system-level and rack-level stability and stress tests, including long-duration workloads across multiple systems.
- Debug and investigate issues through reproduction, isolation, root cause analysis, performance analysis, and stress benchmarks.
- Develop validation frameworks and collaborate with hardware, software, data center operations, and quality teams to identify risks and communicate findings.
What they ask for
- Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent degree.
- 3+ years of hardware/software test engineering experience focused on system validation or data center environments.
- Hands-on experience with modern CPU architecture and microarchitecture, demonstrated through processor-level debugging or validation projects.
- Unix-based OS proficiency; scripting in languages such as Python, Ruby, Swift, or JavaScript; and experience with test automation frameworks and methodologies at scale.
Nice to have
- Master's or PhD in Electrical Engineering, Computer Science, Computer Engineering, or equivalent degree.
- Experience with server or data center hardware bring-up and troubleshooting, automation frameworks, data visualization tools such as Tableau, or AI-powered tools or agents for test development and data analysis.
Pay
USD $144,600 to $263,800 base salary
Tools
Unix-based operating systems, Python, Ruby, Swift, JavaScript, Tableau
AI focus
Preferred experience includes using AI-powered tools or agents for test development and data analysis.
Model-written summary · the original posting is authoritative