Free account to apply · application completed on Apple
At Apple, we don’t just follow industry standards—we define them. We value
creative problem-solving and the ability to adapt to new technical challenges.
In this role, you will collaborate with diverse hardware teams to ensure our
data center infrastructure is not only durable, but built to exceed
expectations. From early concepts to field optimization, you will drive
innovative reliability strategies and continuous improvement to shape the future
of the critical systems powering our global services.
DESCRIPTION
The position is on Apple’s innovative Datacenter MLB Reliability Engineering
team, wherein we are seeking a highly analytical individual to develop the
reliability strategy for our next-generation Data Center motherboards. In this
role, you will bridge the gap between component-level and package level physics
of failures and system-level availability. You will drive SoC and board
integration reliability through rigorous stress testing and physics-of-failure
analysis, utilizing advanced statistical modeling to ensure these critical
modules meet the uptime and availability requirements of a high-demand data
center environment
MINIMUM QUALIFICATIONS
BS in Materials Science, Electrical, Mechanical Engineering or an equivalent
field desired with 5+ years of experience. Proficiency in statistical life data
analysis Strong knowledge of Semiconductor package integration, SLI reliability,
passive components, PCB reliability, bonding materials, and warpage control.
Ability to apply FMEA (Failure Modes and Effects Analysis) methodologies.
Excellent written and verbal communication skills with the ability to explain
complex statistical concepts to non-experts. Ability to manage multiple projects
simultaneously in a fast-paced environment.
PREFERRED QUALIFICATIONS
MS or PhD in Reliability Engineering, Systems Engineering, Electrical
Engineering, Materials Science, or an equivalent field.. Background in
reliability for large-die packages, heterogeneous integration, and high-power
server motherboards. Experience applying reliability modeling (Markov, RBD,
Bayesian) and RAS metrics to Data Center architectures. Proficiency with
reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and scripting
languages for statistical modeling like Python, R, or MATLAB. A record of
initiating innovation and continuous improvement in reliability methodologies.
Dynamic and "can-do" attitude with a desire to work with a great team and
product. Exceptional problem-solving abilities and strong attention to detail.
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