NVMQRA Solid State Drive (SSD) Quality and Reliability Engineer

Micron; Sanand; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Micron Technology, Inc. seeks a Non-Volatile Memory QRA (NVMQRA) SSD Quality and Reliability Engineer to lead reliability and quality strategies for SSD products as they enter high-volume production.

You will drive failure analysis, data-driven risk assessment, and MRB processes while coordinating with NAND, firmware, and engineering groups across regions. The role emphasizes leveraging Generative AI tools to enhance failure analysis, automate workflows, and improve decision quality within the

Qualifications

• Masters' Degree in Electrical/Electronics/Computer Engineering.
• PhD in Electrical/Electronics/Computer Engineering preferred.
• Candidates without a Master’s degree may be considered if they have relevant experience in Product Engineering Failure Analysis and semiconductor background.

Responsibilities

• Manage Reliability evaluations for deviation management.
• Determine a reliability evaluation/trials plan.
• Identify and manage material for sampling.
• Perform data analysis of reliability tests results and/or by conducting failure analysis.
• Close out evaluation and provide feedback to stakeholders.
• Identify deviated material within MRB and participate in containment activities.

Skills

Quality/Reliability engineering

Semiconductor experience

AI/GenAI in engineering

Education

Master's degree in Electrical/Electronics/Computer Engineering

PhD in Electrical/Electronics/Computer Engineering

Tools

MES (MAM)

Job description

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Job Description

As a Non-Volatile Memory QRA (NVMQRA) Solid State Drive (SSD) Quality and Reliability Engineer at Micron Technology, Inc., you will you will be responsible for managing quality and reliability of Micron SSD products as these products enter into high volume production phase of product lifecycle.

You will perform reliability testing and data analysis on material associated with sustaining qualifications through change requests, product proliferations, special work requests and conversions. You will also take part in the management of product deviation events, through participation in product containment activities and providing quality and reliability evaluation plans for risk assessment.

You will also manage the outgoing quality and reliability (OQRM) metrics. You are expected to conduct failure analysis from qualification, evaluation and OQRM failures and report the resulting data. You can expect to conduct global meetings to determine product priorities or product dispositions.

In this role you will work with various Engineering and Quality Reliability Assurance Groups to provide technical support, expertise, consultation and training. You should expect to support customers both internal and external to Micron on an on-going basis.

Responsibilities And Tasks

• Manage Reliability evaluations for deviation management
• Determine a reliability evaluation/trials plan
• Identify and manage material for sampling
• Perform data analysis of reliability tests results and/or by conducting failure analysis
• Close out evaluation and provide feedback to stakeholders
• Identify deviated material within Material Review Board (MRB)
• Take part in containment activities
• Determine a reliability evaluation/trials plan
• Identify and manage material for sampling
• Perform data analysis of reliability tests results and/or by conducting failure analysis
• Determine disposition of materials
• Close out evaluation and provide feedback to stakeholders
• Manage and coordinate various inputs from various stakeholders in Quality Reliability
• Collaborate with discrete component product quality and reliability team for product reliability evaluations/trials/plans
• Collaborate with package quality and reliability team for package-related reliability evaluations/trials/plans
• Manage Product Outgoing Quality and Reliability Monitoring
• Provide the plan for operations to execute for SSD product OQRM data collection
• Analyze the data from Micron Manufacturing Execution System (MES) such as MAM
• Use statistical analysis tools to provide conclusions and verify results
• Summarize the reult of analyzed data through a regular OQRM metrics report

Digital & AI Tool Usage

Leverage AI-powered tools (e.g., Microsoft Copilot, agentic AI platforms, and other generative AI solutions) to enhance engineering effectiveness, automate routine tasks, analyze large datasets, and improve decision quality.

Drive adoption of AI-enabled workflows to increase productivity, reduce cycle time, and improve knowledge sharing within the organization.

Provide Expertise, Consultation and Training

• Communicate Globally with NAND, Firmware, BUs and Engineering Groups for priority management
• Provide training to engineers and technicians within and outside of the group
• Maintain knowledge base (lessons learned) within the group for each SSD market segment
• Stay abreast of Quality and Reliability issues of Micron NAND components
• Provide consultation for audits, RMA, and customer issues

Education

Required: Masters' Degree in Electrical / Electronics/ Computer Engineering

Desired: PhD in Electrical/Electronics/Computer Engineering

Candidates without a Master's degree may also be considered if they possess relevant experience in Product Engineering Failure Analysis (EFA) and a strong semiconductor industry background

Experience

2-7 years of experience in any of the following:

• Solid State Drives Product/Device engineering
• Non-volatile Memory Product/Device engineering
• Non-volatile Memory Process integration engineering
• Quality/Reliability engineering in semiconductor area

Demonstrated ability to effectively utilize Generative AI and Agentic AI platforms (e.g., Microsoft Copilot, Claude, ChatGPT, or equivalent tools) to enhance failure analysis efficiency, automate workflows, accelerate data-driven decision making, and improve technical documentation.

Candidates should be comfortable integrating AI-assisted solutions into daily engineering activities while applying appropriate technical judgment and data governance practices.

Qualifications

Basic knowledge and understanding of wafer fabrication process

Basic knowledge and understanding of device physics

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