Micron Technology

Semiconductor Manufacturing

PrincipalProductQualityEngineer

$2100–3200k ~AI est. Taichung, Taiwan FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Principal Product Quality Engineer at Micron Technology. Skills: Product Quality Engineering, Global quality frameworks, Semiconductor manufacturing. Lead multi-functional and cross-site teams. Resolve complex quality issues”

What You'll Achieve.

Ensure process stability; Ensure product reliability; Continuous improvement at scale; Maintain high product quality standards

Industry & Context.

Semiconductor Manufacturing
Problems you'll solve

Root cause analysis; Problem-solving

What They're Looking For.

Must Have

Bachelor’s or Master’s degree in Engineering, Minimum 8 years of experience, Proven ability to lead global quality engineering initiatives, Advanced proficiency in statistical analysis, Advanced proficiency in quality systems, Advanced proficiency in deviation management, Advanced proficiency in problem-solving, Leadership skills, Cross-cultural collaboration skills, Deep expertise in semiconductor process flows, Deep expertise in failure analysis

What You'll Do.

Lead multi-functional and cross-site teams

Resolve complex quality issues

Drive global alignment

Drive continuous improvement

Develop global quality management systems

Implement global quality management systems

Support NPI qualification

Support PG/PTS yield improvement

Support Burn and module dpm reduction

Support defense line 4 enhancement

Support shift-left improvement

Cover critical RAR risk assessment

Cover Fab Excursion-affected materials

Monitor critical quality metrics

Report on critical quality metrics

Supervise Wafer Level Reliability

Supervise Wafer Level Burn In

Ensure wafer reliability

Apply semiconductor process expertise

Optimize manufacturing performance

Optimize manufacturing reliability

Drive adoption of advanced statistical tools

Define Standard Operating Procedures

Standardize Standard Operating Procedures

Support corrective actions

How You'll Work.

Team & Collaboration

Multi-functional teams; Cross-site teams; Global alignment

Full 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. As a Principal Product Quality Engineer, you are responsible for ensuring the stability and reliability of semiconductor manufacturing processes. This role involves defining standard operating procedures, applying statistical tools, and supporting audits to maintain high product quality standards. Additionally, the Principal Product Quality Engineer is a strategic leader responsible for architecting and driving global quality frameworks across multiple manufacturing sites. This role uses advanced engineering expertise, data analytics, and multi-functional collaboration to ensure process stability, product reliability, and continuous improvement at scale. You will influence global strategy and drive innovation. **Responsibilities:** * Lead multi-functional and cross-site teams to resolve complex quality issues, driving global alignment and continuous improvement. * Develop and implement global quality management systems in partnership with other Micron manufacturing facilities. * Support the NPI qualification, PG/PTS yield improvement, Burn and module dpm reduction, defense line 4 enhancement and shift-left improvement * Cover critical SWRs and RAR risk assessment, Fab Excursion-affected materials and RMA management. * Monitor and report on critical quality metrics, including DPM, yield variation, and reliability performance. * Supervise Wafer Level Reliability (WLR) and Wafer Level Burn In (WLBI) to ensure wafer quality and reliability. * Apply advanced semiconductor process expertise to optimize manufacturing performance and reliability worldwide. * Drive adoption of advanced statistical tools (SPC, DOE, regression analysis, machine learning) for predictive anal

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