About the role
AI summarisedThis internship supports process engineering initiatives focused on data analytics and machine auto-adjustment within Micron's manufacturing operations. The role involves contributing to auto drift detection analysis and correction efforts aimed at improving process efficiency. It is designed for students or early-career individuals seeking hands-on experience in semiconductor process engineering with a focus on data-driven optimization.
IDMOnsiteAssembly & Test
Key Responsibilities
- Assist in data analytics tasks related to manufacturing process monitoring
- Support machine auto-adjustment system development and testing
- Contribute to auto drift detection analysis for process efficiency improvement
- Help implement correction algorithms based on drift detection results
- Collaborate with process engineers to validate analytics outcomes
- Prepare reports and visualizations of process performance data
- Participate in cross-functional team meetings on process optimization
Requirements
- Currently enrolled in a relevant engineering or technical degree program
- Basic understanding of semiconductor manufacturing processes
- Familiarity with data analysis concepts or tools (e.g., Excel, Python, MATLAB)
- Knowledge of statistical process control (SPC) principles
- Ability to interpret process data and identify trends
- Strong attention to detail and data accuracy
- Effective communication skills for team collaboration
- Problem-solving mindset with interest in process improvement
- Ability to work in a cleanroom environment
- Willingness to learn and apply machine learning concepts in manufacturing context