iPhone System Reliability Engineer

3 days ago

Bengaluru, Karnataka, India Apple Full time
Do you have a passion for pushing products to their limits? Ever wondered what makes Apple products deliver an unparalleled user experience? On Apple's innovative Reliability Engineering team, we ensure our products exceed expectations for robustness, durability, and reliability. We're looking for a driven engineer who thrives on building and executing comprehensive test suites, identifying potential failure modes, and collaborating with world-class design teams to make our products even better.

Description
In this high-visibility, fast-paced role, you'll develop and execute advanced reliability tests, drive failure analysis with cross-functional teams and contribute to root cause analysis and corrective actions, that keep our products surprising and delighting customers for years to come. You'll work hand-in-hand with product design, electrical, quality, and manufacturing teams—using data automation, visualization, and AI/ML tools to guide informed decisions throughout the product lifecycle, from early concept to mass production.

Come join us in shaping the next generation of iPhones

Minimum Qualifications
Bachelor's degree in engineering (mechanical, electrical, materials, etc.) or science
5+ years of experience in an engineering role, 3+ years of experience in Hardware/System engineering
Ability to make clear and concise slides/ presentations through Keynote, Excel, etc.
Familiarity with data visualization tools such as Tableau for building dashboards, as well as experience with AI/ML tools for analyzing large datasets, extracting insights, and deriving actionable recommendations
Demonstrate an unwavering passion for engineering products with exceptional reliability
Familiarity with Failure Analysis techniques (Optical Microscopy, X-ray/CT, Scanning Electron Microscopy/Energy Dispersive Spectroscopy, etc.), and the ability to use failure analysis methodology to derive a root cause of failure
Experience in spirited collaboration between multidisciplinary teams of engineers and scientists to solve complex electromechanical / mechanical design challenges

Preferred Qualifications
Master's degree in engineering (mechanical, electrical, materials, etc.) or science
Statistics experience such as Weibull, JMP, or familiarity with accelerated test models
Excel at building and maintaining reliability data dashboards on Tableau that drive informed decision making
Proficient in using Python, R or other languages to for extracting data and performing reliability analysis
Experience in adopting emerging AI/ML tools to streamline workflow and find opportunities for automation
Excellent written and verbal communication skills for audiences ranging from technicians to senior executives
Ability to travel internationally without restriction

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