Product Quality Assurance (PQA) Engineer

Micron•Manassas, VA

About The Position

Micron Technology is seeking a Product Quality Assurance (PQA) Engineer to drive continuous improvement in product quality. The role ensures new products meet quality standards before volume manufacturing and leads failure analysis, reliability risk assessment, and corrective action throughout product qualification. Micron welcomes candidates who are eager to expand their technical breadth and depth while collaborating with engineers across worldwide, multicultural teams.

Requirements

Bachelor's degree or advanced certification in a related technical field, or equivalent technical military experience, or an equivalent mix of education and relevant experience.
Experience with product electrical testing and fault isolation.
Experience with EFA and/or PFA methods.
Skill in statistical data analysis and data mining.
Working knowledge of structured problem-solving methods, including 8D and FMEA.

Nice To Haves

Electrical Engineering preferred.
Understanding of intrinsic reliability failure models, including TDDB, EM, CHC, and NBTI.
Understanding of extrinsic reliability failure modes, including infant mortality (ICF) and extended (HTOL) testing.
Experience with product qualification and quality systems for new product introduction in semiconductor manufacturing.
Experience leading quality improvement programs tied to internal quality metrics.
Experience and/or interest in developing Agentic AI workflows into current or future processes.

Responsibilities

Ensure new products meet quality standards and have accurate risk assessments and quality systems in place before volume manufacturing.
Drive timely response, resolution, and continuous improvement of Product Qualification failures using 8D and FMEA.
Perform electrical failure analysis (EFA) and physical failure analysis (PFA) to identify root causes and drive corrective actions.
Use statistical data analysis and data mining to develop robust product disposition techniques.
Define electrical signatures at scale and investigate electrical parameter shifts.
Interpret reliability data and deliver accurate reliability risk assessments.
Lead key deliverables and improvement programs that advance internal quality metrics.