iPhone System Reliability Engineer

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!

Responsibilities

• 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

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

Submit CV