Engineer, Yield Enhancement PDE (Package Development Engineering)

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

As an PDE Yield Enhancement (YE) Engineer within Package Development Engineering (PDE), you will be responsible for yield monitoring, excursion management, and yield stabilization during High Bandwidth Memory (HBM) New Product Introduction (NPI) .

This role is critical to ensuring robust yield performance from first silicon through NPI ramp and early HVM , working closely with Process Integration (PI), MRDA, Process Engineering (PE), Assembly/Test Manufacturing, and Quality teams. You will act as a hands‑on yield owner during NPI builds, driving fast learning cycles, early risk detection, and disciplined yield recovery.

Job Responsibilities:

Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness,exercising sound judgment and complying with organizational standards and legal requirements.

Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Yield Loss Accounted For

Account for HBM NPI builds across Post Wafer Finishing (PWF), Assembly, and test through defect breakdown and Physical Failure Analysis (PFA) submission to understand fail mode

Work closely with PI to identify defect that is coming from their area to brainstorm for Continuous Improvement Plan (CIP)

Learn NPI processes, phase gates, and yield best practices

Assist in maintaining yield dashboards and trackers. Support PI/PE/Real Time Defect Analysis (RDA) in identifying and transforming processing data to account/ breakdown a yield loss

Yield Deviation Control

Analyze and report on yield deviation issue and trigger action from PI, Process Engineering (PE) or RDA

Support block run and partial conversion build yield analysis to early detect any impact on yield

Work closely with Process Control Systems (PCS) team to identify Statistical Process Control (SPC) or Fault Detection & Classification (FDC) charts to put into Yield Loss Ratio (YLR) dashboard for shift left monitoring

Yield Improvement Opportunities

Brainstorm with staff from other departments to brainstorm for improvement opportunities to propose to PI

Utilize software tool like Auto-diagnostics to find yield improvement opportunities

Integrating Artificial Intelligence

Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgement and complying with organizational standards and legal requirements

Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work

Job requirements , Qualifications/Experience

Bachelor's or master's degree in engineering or related discipline

0–2 years of experience in semiconductor manufacturing or engineering

Strong interest in yield analysis and data‑driven problem solving

Basic knowledge of statistics, SPC, or data analysis tools

Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes

Strong analytical, logical, and critical thinking skills

Effective communicator, able to collaborate across all levels

Growth mindset with a passion for continuous learning

Internship or experience in the semiconductor industry is a plus

Demonstrated leadership and a track record of impact are highly desirable

Interest in and knowledge of the semiconductor industry and Micron is preferred

Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

Embody Micron’s core values:

People – Respect, develop, and empower others

Innovation – Drive continuous improvement and breakthrough thinking

Tenacity – Show grit and determination

Collaboration – Build trust and foster teamwork

Customer Focus – Deliver excellence and value

Inclusion & Accessibility Statement

Micron is committed to fair, inclusive, and merit‑based hiring. Reasonable accommodation is available to enable individuals with disabilities to perform the essential functions of this role. All qualified candidates are encouraged to apply.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com

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