Job Description

Locations

• Bengaluru, Karnataka, India 560001

Salary

Skills Required

• building and executing comprehensive test suitesintermediate
• identifying potential failure modesintermediate
• collaborating with world-class design teamsintermediate
• developing and executing advanced reliability testsintermediate
• driving failure analysisintermediate
• root cause analysisintermediate
• contributing to corrective actionsintermediate
• data automationintermediate
• visualizationintermediate
• AI/ML toolsintermediate

Required Qualifications

• Bachelor’s degree in engineering (mechanical, electrical, materials, etc.) or science (degree in engineering)
• 5+ years of experience in an engineering role, 3+ years of experience in Hardware/System engineering (experience, 5 years)
• Ability to make clear and concise slides/ presentations through Keynote, Excel, etc. (experience)
• 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 (experience)
• Demonstrate an unwavering passion for engineering products with exceptional reliability (experience)
• 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)
• Experience in spirited collaboration between multidisciplinary teams of engineers and scientists to solve complex electromechanical / mechanical design challenges (experience)

Preferred Qualifications

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

Responsibilities

• 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!
• 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

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