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Apple iPhone System Reliability Engineer 
United States, West Virginia 
682769418

Yesterday
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.
  • Partner with a wide range of teams to test next-generation iPhones throughout the development phase
  • Ensure test equipment (ranging from chambers, bend fixtures to drop towers) are calibrated and maintains highest standards
  • Prepare concise and detailed reliability test plans and reports with an emphasis on prioritizing tasks to meet ambitious deadlines
  • Set up tableau dashboards to review data across hundreds of devices every build
  • Developing new reliability tests, procedures, and specifications
  • Analyzing experimental data to provide in-depth understanding of design features
  • Apply novel methodology using AI/ML tools to derive meaningful information from all the data collected
  • Providing design direction to multi-disciplinary teams to improve product reliability
  • Interacting with a diverse and passionate group of team members to communicate results and provide program direction
  • 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
  • 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