NAND Q&R Engineer

Imagine what you could create at Apple. Here, groundbreaking ideas evolve rapidly into products, services, and experiences that transform industries. Bring your technical mastery, analytical mindset, and creative energy-there's no limit to what you can accomplish. At Apple, you'll collaborate with forward-thinking engineers who pair innovation with precision, combining deep coding expertise, advanced reliability data analysis, and cutting-edge technology to redefine what's possible. Our shared mission: to deliver meaningful innovation and leave the world better than we found it! As an Apple NAND Q&R Engineer, you will shape the future of Apple's mass storage architecture by leveraging your coding, data analytics, and Q&R engineering expertise. You'll integrate statistical insight with hardware quality and reliability data to optimize flash memory technologies and influence how Apple devices achieve industry-leading performance and reliability. Working across EPM, product engineering, test, and supplier teams, you'll help translate complex data into actionable reliability improvements and next-generation product solutions.Drive vendor NAND die development to meet Apple's standards for quality and reliability. Lead collaborative investigations of NAND device quality and reliability issues using data-driven root-cause analysis. Present trend analyses, risk assessments, and technical recommendations to cross-functional stakeholders and leadership. Apply statistical modeling and data visualization techniques to detect anomalies and guide issue resolution. Develop and implement automated scripts and tools (Python, SQL, or similar) to analyze NAND device quality and reliability data at scale.Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical field. Experience in NAND development, characterization, or process engineering. Experience with statistical data analysis and large dataset interpretation. Experience in NAND qual testing, failure analysis and/or debugging.MS or PhD in a technical discipline with 10+ years of relevant industry experience. Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis. Proficiency in automating data analysis workflows and developing data pipelines for Q&R evaluation. Experience correlating NAND device parameters with product-level Q&R through coding and analytics tools. Familiarity with multiple lithography and process technologies from concept through qualification. Deep understanding of NAND system architecture for embedded or SSD designs and competitor benchmarking. Exceptional analytical judgment, technical communication, and problem-solving skills.