About This Role

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.

About This Role