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Sr Semiconductor Product Quality Assurance Engineer at Micron Technology

Manassas, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Root Cause Analysis, Problem Solving, Electrical Device Characteristics, Reliability Failure Models, Statistical Methods, FMEA, Inline Defect Detection, Failure Analysis Techniques, CMOS, DRAM, Flash Memory, Probe Test Flows, Reliability Modeling, SPC, Communication Skills

Industry

Semiconductor Manufacturing

Description

Drive product quality improvements through EFA, data analysis, and qualification support. Monitor and improve internal quality metrics including NCD, Product Grade, PTS, and GSPEC. Lead root cause analysis using structured problem-solving tools such as 8D and FMEA. Collaborate with engineering and manufacturing teams to implement containment and corrective actions. Analyze multiple data sources to identify reliability issues and provide customer feedback. Ensure data integrity and proactively address potential quality concerns. Link product layout to process marginality and test performance. Apply knowledge of electrical device characteristics and reliability failure models. Bachelor's degree in Electrical, Electronics, Materials Science, Micro-Electronics, Physics, or a related field. Must also be willing/able to work weekends or evenings, as needed. 3+ years of experience in the semiconductor industry, including: understanding semiconductor/manufacturing environments/process flows and reliability failure models, effective priority-setting, knowledge of semiconductor device physics, CMOS, DRAM/Flash memory electrical operation, and Probe/Test flows, an understanding of reliability failure models, Familiarity with DRAM/Flash memory operation, probe/test flows, and semiconductor process environments. Strong analytical (statistical methods to perform data analysis, knowledge of Failure Modes and Effects Analysis -FMEA, understanding of inline defect detection and failure analysis techniques), problem-solving (understanding of problem-solving methodologies such as 8D, Kepner-Tregoe or Six Sigma) Master's degree in a related technical field. Experience with reliability modeling, SPC, FMEA, and structured problem-solving methodologies. Strong written and verbal communication skills

Responsibilities

Drive product quality improvements through data analysis and qualification support. Collaborate with engineering and manufacturing teams to implement corrective actions and analyze data to identify reliability issues.