As an Apple NAND Q&R Engineer you will shape the future of Apples mass storage architecture by leveraging your coding data analytics and Q&R engineering expertise. Youll 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 youll help translate complex data into actionable reliability improvements and next-generation product solutions.
- Bachelors 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 3 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.
As an Apple NAND Q&R Engineer you will shape the future of Apples mass storage architecture by leveraging your coding data analytics and Q&R engineering expertise. Youll integrate statistical insight with hardware quality and reliability data to optimize flash memory technologies and influence how A...
As an Apple NAND Q&R Engineer you will shape the future of Apples mass storage architecture by leveraging your coding data analytics and Q&R engineering expertise. Youll 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 youll help translate complex data into actionable reliability improvements and next-generation product solutions.
- Bachelors 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 3 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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