Hardware Reliability Engineering - iPhone System Reliability Engineer

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.

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!

Description
Your day-to-day adventures will include:
Partner with a wide range of teams to test next-generation iPhones throughout the development phase
Apply novel methodology using AI/ML tools to analyze reliability test data and predict product performance trends
Develop automated frameworks for cleaning, processing, and visualizing reliability datasets, enabling intuitive dashboards that track data across hundreds of devices for every build
Prepare concise and detailed reliability test plans and reports with an emphasis on prioritizing tasks to meet ambitious deadlines
Developing new reliability tests, procedures, and specification
Analyzing experimental data to provide in-depth understanding of design features
Interacting with a diverse and passionate group of team members to communicate results and provide program direction
Tackle new challenges everyday - both technical and logistical, where your contributions will drive improvements to the product and foster your personal and professional growth

Preferred Qualifications
Master’s degree in engineering (mechanical, electrical, materials, robotics etc.) or data science
Statistics experience such as Weibull, JMP, or familiarity with accelerated test models
Passion for combining engineering intuition with AI-based automation
Excellent written and verbal communication skills for audiences ranging from technicians to senior executives
Ability to travel internationally without restriction

Minimum Qualifications
Bachelor’s degree in engineering (mechanical, electrical, materials, robotics etc.) or data science
3+ years of experience in an system/ hardware engineering or AI/ML data analysis
Collaborative attitude and ability to cross-functionally work effectively
Experience in data analytics, AI/ML, and data visualisation dashboard tools (Tableau) for analysing large datasets, extracting insights, and deriving actionable recommendations
Proficient in using Python, R, or other programming languages to extract, process, and analyze reliability data
Familiarity with failure analysis methodology to identify root cause
Ability to make clear and concise slides/ presentations through Keynote, Excel, etc
Demonstrate an unwavering passion for engineering products with exceptional reliability","internalDetails":null,"eeoContent":null