Manager, FE CENTRAL PIE PI

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.

Job Description

Key Responsibilities

1. Deliver HBM yield, quality and NPI

· Drive best-in-class yield ramp and product maturity from development through high-volume manufacturing.

· Lead cross-functional resolution of critical process, device, reliability and product integration issues.

· Balance speed, quality, cost and risk to meet business and customer commitments.

2. Lead global One Team execution

· Align Fab, Technology Development, Product, Yield, Quality, Manufacturing and business partners around common priorities.

· Build clear ownership, milestones, review mechanisms and escalation paths across global sites.

· Remove barriers quickly and communicate risks, decisions and recovery plans transparently.

3. Apply AI to engineering and operations

· Champion AI-assisted data mining, anomaly detection and pattern recognition to surface high-impact yield opportunities faster.

· Use predictive analytics and modelling to improve yield projections, risk identification and NPI readiness decisions.

· Build reusable engineering knowledge through AI-enabled search, lesson capture and cross-node learning.

· Automate routine data preparation, status summaries and reporting so engineers can focus on technical judgement and innovation.

· Ensure AI applications follow data security, validation, responsible-use and human-review requirements.

4. Build strategy, systems and capability

· Develop PI roadmaps, methods, tools and operating models that support HBM technology cadence and business plans.

· Create scalable dashboards, metrics and review systems that turn data into timely decisions.

· Encourage experimentation, technical leadership and disciplined learning across the organisation.

5. Lead performance and accountability

· Set clear priorities, measurable goals and role expectations for managers and team members.

· Review critical programmes and deliverables regularly, using metrics to identify gaps and drive closure.

· Coach leaders to balance task execution with business results, quality and long-term capability building.

6. Grow people and succession strength

· Maintain a forward-looking training roadmap covering HBM, advanced PI, data analytics and AI fluency.

· Develop technical experts, people leaders and successors through coaching, mentoring and stretch assignments.

· Reduce single-person dependencies through knowledge sharing, cross-training and global collaboration.

How Success Is Measured

Yield & Quality Competitive yield ramp, stable product performance and timely closure of quality risks. Speed Faster learning cycles, issue resolution, NPI readiness and product maturity.

Execution

Clear ownership, predictable delivery and

transparent risk management. AI Impact Validated AI use cases that improve insight, productivity and decision quality.

People

Stronger technical depth, engagement, mobility

and succession readiness. One Team Effective collaboration and learning across functions, sites and product generations.

Qualifications

Required

· Bachelor’s, Master’s or PhD in Electrical Engineering, Materials Engineering, Materials Science, Physics, Chemistry or a related discipline.

· 6+ years of semiconductor process, product, yield or integration experience, including leadership of complex cross-functional programmes.

· Strong understanding of semiconductor fabrication, process interactions and their impact on yield, device performance and reliability.

· Ability to interpret inline, parametric, probe, reliability and assembly data for DRAM/HBM products.

· Clear written and verbal communication, structured problem solving and data-driven decision-making skills.

What Sets You Apart

· Proven success in HBM or DRAM NPI, yield ramp, technology transfer or high-volume manufacturing.

· Ability to lead and influence globally across sites, functions and senior stakeholders.

· Experience applying analytics, machine learning or generative AI to engineering workflows and decisions.

· Track record of developing managers, technical leaders and successors.

· Comfort operating in ambiguity, managing multiple priorities and taking ownership beyond formal boundaries.

Travel

Travel required: Yes, as needed to support global collaboration and department goals.

Expected frequency: 20-50%.

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 at [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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