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NAND Q&R Engineer
Apple, Inc.Cupertino, CA🇺🇸United StatesPosted 12 Aug 2026
Why This Role Stands Out
Shape the future of Apple's mass storage architecture by leveraging your expertise in NAND, data analysis, and quality & reliability engineering, with the flexibility of a hybrid work environment. You'll thrive in this role if you possess a strong technical background, a passion for innovation, and a desire to collaborate with world-class engineers to deliver groundbreaking products. Apply now to join a team dedicated to meaningful innovation and making the world a better place.
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
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!
Description
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.
Minimum Qualifications
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.
Preferred Qualifications
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.
Description
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.
Minimum Qualifications
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.
Preferred Qualifications
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.
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