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About the Role

Join an inclusive team passionate about using 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.

Responsibilities

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

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 working experience with SQL for data extraction and manipulation.
• Familiarity with statistical tools, methodologies (such as SPC, DOE, or FDC/EDA), and data-driven problem solving.
• Experience applying data visualization tools (e.g., Dash, Plotly, Angular) to present complex engineering data clearly.
• Familiarity with mathematical theory behind machine learning models, neural networks, LLM, etc.
• Effective communicator and collaborator, capable of bridging the gap between data science and traditional semiconductor engineering teams.
• Analytical and problem-solving mentality with a demonstrated commitment to quality and continuous improvement in a fast-paced environment.
• Proven ability to work independently, manage multiple priorities, and deliver high-quality results.

Skills

• Python
• SQL
• Data Visualization
• Dash
• Plotly
• Angular
• Statistical Modeling
• Machine Learning
• SPC
• DOE
• FDC/EDA
• LLM

Experience Level

• 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).

Education Level

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

About the Company

• 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.

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.
• 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.