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About the Role

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.

Responsibilities

• Collaborate with semiconductor manufacturing engineering teams to analyze data, identify yield detractors, and drive continuous improvement.
• Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support manufacturing operations.
• Apply data science techniques, statistical modeling, and machine learning to solve yield issues and support defect reduction.
• Assist engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins.
• Develop automated reports and dashboards using visualization tools to communicate technical concepts and project outcomes.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field.
• Hands-on experience in data science, analytics, or scripting applications.
• Willingness to learn semiconductor manufacturing principles and collaborate closely with equipment and integration engineers to resolve production issues.
• Strong Python programming skills and experience with SQL for data extraction and manipulation.
• Familiarity with statistical tools, methodologies, and data-driven problem solving.
• Experience applying data visualization tools to present complex engineering data.
• Prior experience or internship in the semiconductor industry, electronics manufacturing, or related fields.
• Basic understanding of semiconductor fabrication processes, equipment, and device physics (e.g., CMOS basic knowledge).
• Familiarity with advanced analytics or computer-based analysis for manufacturing and yield applications.
• Knowledge of memory architecture (DRAM/NAND).

Skills

• Python programming
• SQL
• Statistical tools
• SPC
• DOE
• FDC/EDA
• Data visualization tools
• Dash
• Plotly
• Angular
• Effective communication
• Collaboration
• Analytical mentality
• Problem-solving mentality
• Commitment to quality
• Commitment to continuous improvement
• Ability to work independently
• Ability to manage multiple priorities
• Ability to deliver high-quality results

Education Level

• Bachelor's degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field

About the Company

• Micron Technology, Inc. is an industry leader in innovative memory and storage solutions.
• Transforms how the world uses information to enrich life for all.
• Focuses on customers, technology leadership, and manufacturing and operational excellence.
• Delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through Micron® and Crucial® brands.
• Innovations fuel the data economy, enabling advances in artificial intelligence and 5G applications.
• Unleashes opportunities from the data center to the intelligent edge and across the client and mobile user experience.
• Visit micron.com/careers to learn more.
• Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
• Does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment.
• Advises job seekers to be cautious of unsolicited job offers and to verify authenticity by checking the official Micron careers website.

Equal Opportunity

• 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