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Apple iPhone System Reliability Engineer United States, West Virginia 682769418
04.09.2025
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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
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