Apply statistical methodologies including DOE, SPC, JMP, and Six Sigma to characterize and optimize manufacturing processes.
Drive early process learning through advanced characterization and failure analysis techniques.
Yield Improvement & Problem Solving
Lead root cause investigations using structured methodologies including RCA, FMEA, OCAP, and containment strategies.
Analyze failure mechanisms and process interactions impacting yield and reliability.
Identify process variation drivers and implement corrective and preventive actions.
Support high-volume manufacturing through excursion management and continuous process improvement.
Data Analytics & Digital Engineering
Utilize manufacturing, yield, and equipment datasets to identify process trends and optimization opportunities.
Develop data-driven solutions for anomaly detection and predictive process monitoring.
Leverage analytics platforms and visualization tools to improve engineering decision-making.
Partner with digital and automation teams to deploy AI-enabled process monitoring solutions.
NPI & Technology Development
Support product qualification and technology transfers with strong first-pass success.
Drive process readiness for new product introduction (NPI).
Evaluate new materials, process technologies, and equipment capabilities.
Establish baseline POR, TOR, and BOM controls for transferred products and technologies.
Technical Leadership
Serve as a technical resource for process characterization, yield improvement, and failure analysis.
Coach and mentor engineers on structured problem-solving methodologies.
Lead cross-functional teams involving PDE, Manufacturing, Yield, Process Integration, Reliability, and Equipment Engineering organizations.
Drive technical alignment and stakeholder engagement for complex development programs.
Job Requirements
Ph.D. / Master's /Bachelor's Degree in Physics, Materials Science, or related discipline.
5+ years semiconductor industry experience in one or more of the following:Process Development EngineeringFailure AnalysisYield EngineeringProcess IntegrationCharacterization EngineeringNPI Engineering
Strong semiconductor device physics and materials science fundamentals.
Expertise in advanced characterization techniques:SEMTEMFIBAFMSpectroscopy Techniques
Experience with process characterization, defect analysis, and reliability investigations.
Working knowledge of DOE, SPC, FMEA, JMP, RCA, Control Plans, and OCAP methodologies.
Experience using yield analytics and visualization tools.
Familiarity with data science, machine learning concepts, and manufacturing analytics.
Ability to convert large datasets into actionable engineering insights.
Exposure to Industry 4.0 and Smart Manufacturing concepts.
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.
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