Director, Package Quality and Reliability

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. Director, Package Quality & Reliability Engineering Job Summary The Director, Package Quality & Reliability Engineering leads the execution and continuous improvement of package reliability, qualification, and failure analysis across new product introductions (NPI) and high-volume manufacturing (HVM). This role is responsible for ensuring robust package quality and reliability performance, identifying and mitigating key risks, and enabling successful product ramps across diverse application segments including mobile, automotive, data center, and AI/HPC. Working closely with Package Development Engineering (PDE), front-end fabrication, manufacturing, and quality teams, the role drives Design for Reliability (DFR), qualification rigor, and structured problem-solving at the chip-to-package interface, while building strong team capability and operational excellence. Main Responsibilities Package Quality & Reliability Engineering Lead execution of package reliability qualification for new product introductions and ongoing reliability monitoring in high-volume manufacturing Identify and resolve key reliability risks, including chip-to-package interaction (CPI), interconnect reliability, thermo-mechanical stress, and material-related failure mechanisms Drive improvements in reliability test coverage and methodologies, aligned to end-use application requirements (e.g., automotive, mobile, data center) Ensure robust qualification processes, test plans, and reliability sign-off readiness Cross-Functional Collaboration Partner with Package Development Engineering (PDE) to integrate Design for Reliability (DFR) and Design for Manufacturability (DFM) into package design Collaborate with front-end fab teams to address integration challenges across silicon and packaging interfaces Work with internal stakeholders and support customer engagements on package quality and reliability topics Risk Assessment & Disposition Provide technical input and recommendations for risk assessment, including new package qualifications, process/material changes, and manufacturing excursions Lead or support failure analysis and root cause investigations using structured methodologies (e.g., 8D) for quality issues, qualification failures, and field returns Support data-driven evaluation of reliability performance and risk mitigation plans Leadership & Organization Development Lead and develop a team of engineers focused on package reliability, qualification, and failure analysis Drive team capability building, training, and adherence to engineering and quality standards Establish clear operating rhythms, KPIs, and execution discipline to ensure consistent delivery Manage budgets and resource planning, including support for reliability testing infrastructure Other Responsibilities Support alignment across Product Engineering, Manufacturing, and Quality teams to ensure smooth product qualification and ramp Drive continuous improvement initiatives in reliability methodologies, failure analysis, and operational processes Contribute to strengthening reliability data analytics and digital capabilities Provide escalation support on critical reliability and quality issues impacting production or customer commitments Support supplier interactions related to package reliability and materials performance Leverage AI-enabled tools and data analytics to improve reliability insights, failure analysis efficiency, and decision-making Identify opportunities to enhance testing, monitoring, and risk detection using digital and predictive approaches Promote responsible adoption of AI to improve engineering productivity and outcomes Candidate Profile / Job Requirements Minimum Required Qualifications / Experience Bachelor’s degree in Materials Science, Mechanical Engineering, Electrical Engineering, Chemical Engineering, or related field (Master’s or Ph.D. preferred) 12+ years of experience in semiconductor packaging, reliability, or manufacturing 5+ years of experience in people management or technical leadership roles Experience in high-volume manufacturing environments with exposure to package quality and reliability Must Have Technical Skills Strong understanding of semiconductor packaging technologies and materials Experience in package reliability test methodologies (e.g., temperature cycling, HAST, MSL/preconditioning, board-level reliability) and applicable standards (JEDEC, AEC-Q) Working knowledge of failure analysis techniques (e.g., cross-sectioning, SAM, X-ray, SEM/EDX) and root cause analysis Understanding of chip-to-package interaction, thermo-mechanical stress, and reliability failure mechanisms Familiarity with qualification processes, reliability testing, and risk assessment approaches Must Have Soft Skills Strong leadership and team development capabilities Effective collaboration across cross-functional engineering and manufacturing teams Structured problem-solving and decision-making skills Clear communication skills with the ability to engage both technical and non-technical stakeholders Ability to manage priorities and deliver results in a fast-paced environment Highly Desirable / Preferred Demonstrates baseline digital fluency and ability to apply AI-enabled tools for data analysis, problem-solving, and operational improvement Uses AI responsibly in line with organizational standards and governance Experience with memory products (DRAM, NAND, HBM) in high-volume manufacturing Exposure to advanced packaging technologies (e.g., system-in-package, hybrid bonding) Experience supporting automotive or AI/HPC reliability requirements Familiarity with predictive reliability analytics or digital quality systems Experience working with OSATs, suppliers, or external manufacturing partners Embody Micron’s Core Values People – Respect, develop, and empower others Innovation – Drive continuous improvement and practical problem-solving Tenacity – Demonstrate resilience and accountability Collaboration – Build strong partnerships across teams Customer Focus – Deliver quality and reliability outcomes that meet customer expectations 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 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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