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 a Quality Metro Real-time Defect Analysis (RDA) Engineer, you will be responsible for enabling robust quality monitoring, early detection, and rapid containment of quality risks across advanced packaging and NPI manufacturing environments.

You will focus on leveraging RDA platforms, Statistical Process Control/ Fault Detection & Classification (SPC)/ (FDC) systems, automation, and data analytics to prevent escapes, accelerate learning, and improve product and process robustness, particularly during New Product Introduction (NPI), pilot, and early ramp phases. This role acts as a critical bridge between Quality, RDA, Process, Equipment, and NPI teams, ensuring quality requirements are embedded into monitoring strategies and operational execution.

You will work closely with Site and Global Quality, Process Integration, Equipment Engineering, and Automation teams to drive quality-focused diagnostics, excursion management, and continuous improvement in a high-change, high-learning environment.

Identify, Select, and Deliver Quality-Centric RDA Processes, Monitoring, and Technology

• Define and sustain quality-focused monitoring strategies using RDA, SPC, FDC, and advanced analytics for advanced packaging processes

• Identify critical quality signals, failure modes, and process sensitivities, particularly for NPI and new package introductions

• Translate quality risks and requirements into actionable RDA rules, alarms, dashboards, and control strategies

• Support early detection and prevention of quality excursions, yield detractors, and systemic risks

• Partner with Quality and Process teams to continuously refine monitoring thresholds and response strategies as NPI matures

• Ensure quality considerations are embedded in new RDA capability deployments and automation enhancements

Support Quality Readiness for NPI, Pilot, and Ramp-to- High Volume Manufacturing (HVM) Transitions

• Support quality readiness assessments for new tools, processes, and package types through RDA and data visibility

• Collaborate with NPI, Process, and Equipment teams to ensure monitoring coverage for critical-to-quality (CTQ) parameters

• Provide data-driven insights to support NPI reviews, risk assessments, and ramp decisions

• Validate monitoring effectiveness during pilot and early ramp phases and drive improvements as needed

• Support containment, disposition, and recovery activities during NPI-related quality events

Drive, Improve and Maintain Quality Metrics and Excursion Management Effectiveness

• Monitor and analyze quality-related metrics such as excursion rate, detection effectiveness, response time, and escape prevention

• Support root cause investigations by providing high-quality data, trends, and diagnostic insights from RDA systems

• Ensure accurate logging, documentation, and traceability of quality events and corrective actions

• Identify recurring quality issues and systemic gaps in monitoring or response mechanisms

• Proactively escalate high-risk trends and quality concerns with clear data and impact assessment

Collaborating on Continuous Improvement and Quality System Integration

• Partner with Site and Global Quality teams to align RDA monitoring strategies with quality systems and standards

• Support continuous improvement initiatives focused on yield improvement, defect reduction, and robustness enhancement

• Provide operational and technical feedback on RDA solutions from a quality effectiveness perspective

• Participate in lessons learned, best practice sharing, and standardization efforts across sites and programs

• Support audits, reviews, and assessments by providing objective monitoring data and quality insights

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.

Job Requirements / Qualifications

• Bachelor’s degree in engineering (Chemical, Materials, Electrical, Mechanical, Industrial, Computer Engineering, or related discipline)

• 0-2 years of experience in semiconductor manufacturing, advanced packaging, quality engineering, process engineering, or RDA/automation roles

• Strong experience supporting NPI, pilot lines, or early production ramps

• Solid understanding of semiconductor quality concepts, excursion management, and yield improvement methodologies

• Experience with SPC/FDC, manufacturing data systems, or RDA platforms is highly preferred

• Strong analytical skills with the ability to interpret complex data and identify meaningful quality signals

• Demonstrated ability to work cross-functionally and influence without direct authority

• Strong documentation, communication, and presentation skills

• 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 [email protected]

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.   

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