Do you like to break things? Do you ever wonder what goes into making Apple products an amazing user experience?
The engineers on Apple's innovative reliability team are responsible for ensuring that our products exceed our customer's expectations for robustness, durability, and reliability. We are looking for dedicated contributors who enjoy working on ground-breaking products and seeking to make them better through creation and execution of comprehensive test suites, identification of potential failure modes, and collaboration with design teams to drive product improvements. This particular position is on the iPhone system reliability team. In this highly visible and fast-paced role, you will be responsible for developing & performing novel test methodologies to validate the robustness of Apple products/sub-assemblies, materials, and supplier technology. In addition, you will lead failure analysis with our outstanding technology teams to establish root cause and corrective actions to ensure our products continue to surprise and delight our customers for years to come.
Description
In this role you'll be working cross-functionally with product design, electrical, quality and manufacturing teams to develop and apply advanced reliability test methods, perform failure analysis, run risk assessments and contribute to data automation. Your impact will be felt across the product lifecycle-from early concept to mass production-helping us ship products that exceed user expectations for quality and reliability.
Minimum Qualifications
Bachelor's degree in engineering (mechanical, electrical, materials, etc.) or science with 3+ of industry experience
Collaborative attitude and ability to cross-functionally work effectively
Familiarity with failure analysis methodology to identify root cause
Ability to make clear and concise slides/ presentations through Keynote, Excel, etc.
Familiarity with tools such as Tableau for building dashboards
Ability to travel internationally without restriction
Demonstrate an unwavering passion for engineering products with exceptional reliability
Preferred Qualifications
Master's degree or PhD in engineering (mechanical, electrical, materials, etc.) or science (new college graduate)
Statistical 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 identify opportunities for automation
Excellent written and verbal communication skills for audiences ranging from technicians to senior executives
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: b2a260695553ac7f9b8408e678af6f60
- Posted 30+ days ago
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