Global Quality Product Quality and Reliability Engineer

Micron

Sanand

On-site

INR 900,000 - 1,500,000

Full time

7 days ago
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Job summary

Micron Technology India is seeking a Non-Volatile Memory QRA (NVMQRA) SSD Quality and Reliability Engineer. You will manage reliability evaluations, perform failure analysis, and drive quality improvements as products enter high-volume production.

You will collaborate with NAND, firmware, and manufacturing teams, leverage AI tools to automate data analysis, and drive OQRM metrics and global priority discussions for Micron NAND products.

Qualifications

  • Master's degree in Electrical/Electronics/Computer Engineering or related field.
  • PhD preferred or strong academic record with semiconductor internships or projects.
  • Bachelor's with strong academic performance may be considered.

Responsibilities

  • Manage reliability evaluations for deviation management.
  • Perform data analysis of reliability tests and failure analysis.
  • Coordinate with NAND, firmware, and engineering groups for priorities.
  • Support OQRM data collection and reporting.
  • Provide training and knowledge sharing within the group.

Skills

Quality & Reliability Engineering
SSD/NAND knowledge
Statistical analysis
AI tools usage

Education

M.S. in Electrical Engineering
M.S. in Electronics Engineering
PhD in Electrical/Electronics/CS

Tools

MES data systems
AI platforms (Copilot/Claude/ChatGPT)

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: Master's Degree in Electrical, Electronics, Computer Engineering, or a related field

Desired: PhD in Electrical, Electronics, Computer Engineering, or a related field

Candidates with a Bachelor's degree and strong academic performance, relevant internships, research projects, or semiconductor-related experience may also be considered.

Experience
  • Exposure through coursework, academic research, internships, co-op programs, or project work in one or more of the following areas is preferred: Solid State Drive (SSD) products and storage technologies, Non-Volatile Memory (NAND, NOR, UFS, eMMC, SSD) technologies, Semiconductor device engineering, Semiconductor process integration engineering, Semiconductor quality and reliability engineering
  • Experience applying engineering principles to solve complex technical problems through academic, research, or internship projects.
  • Demonstrated ability to effectively utilize Generative AI and Agentic AI platforms (e.g., Microsoft Copilot, Claude, ChatGPT, or equivalent tools) to improve productivity, automate routine tasks, accelerate data analysis, and enhance technical documentation.
  • Comfortable leveraging AI-assisted tools in
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