Intern PIE RDA
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Job Summary
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.
Project Title
Project Description
Objective of the Project
- Develop foundational understanding of semiconductor manufacturing process control and inspection data
- Apply data analytics techniques to identify systematic patterns and variations in large datasets
- Build analytical thinking and problemsolving skills in a real manufacturing context
Project Scope
- Study historical Statistical Process Control (SPC) data and inline defect datasets to understand process behavior
- Analyze defect and inspection data to identify recurring patterns anomalies and correlations
- Investigate and characterize equipment hardwarerelated shading effects using inspection datasets
- Perform data cleaning feature extraction and exploratory statistical analysis
- Examine relationships between shading signatures equipment conditions process steps and defect characteristics
- Develop data visualizations or analytical methods to highlight shading trends and detection opportunities
- Participate in technical discussions with process engineering and analytics stakeholders to translate findings into insights
Learning Opportunities
- Exposure to semiconductor manufacturing operations and process control concepts
- Practical experience in data analytics statistical analysis and visualization
- Understanding how manufacturing challenges are approached using datadriven methods
- Experience working in a crossfunctional engineering and analytics environment
Project Deliverables
- Process Analytics Summary
- Key observations derived from SPC and defect data analysis
- Analytical interpretation of observed process variations
- Shading Characterization Report
- Quantitative analysis of shading patterns and contributing factors
- Correlation of shading effects with equipment and process variables
- Data Visualization / Analytical Outputs
- Charts dashboards or notebooks illustrating trends and shading signatures
- Documentation of analytical approach and findings
Impact of Project
- Improved understanding of inspection data quality challenges
- Datadriven insights to support future process control and monitoring strategies
- Contribution to longterm manufacturing analytics capability development
Skillsets Required
- Basic understanding of data analysis and statistics
- Familiarity with at least one of the following tools:
- Python
- SQL
- Microsoft Excel
- Strong analytical thinking and willingness to learn
Course of Interest
- Electrical or Electronic Engineering
- Mechanical Engineering
- Materials Science
- Semiconductorrelated disciplines
About Micron Technology Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor 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 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 accommodationsplease contact
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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Required Experience:
Intern
About Company
Explore Micron Technology, leading in semiconductors with a broad range of performance-enhancing memory and storage solutions
