AI Application PDE

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Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Job Description: AI Application Intern (PDE - MSI Assembly)
Role Overview
We are seeking a highly motivated AI Application Intern to support the Product Development Engineering (PDE) team within MSI Assembly. This role focuses on applying AI/ML techniques to improve manufacturing efficiency, yield, and decision-making in semiconductor assembly operations.
The intern will work closely with cross-functional teams (PDE, Manufacturing, IT, Yield, and Equipment Engineering) to develop practical AI-driven solutions addressing real production challenges such as WIP optimization, anomaly detection, predictive analytics, and automation.
Key Responsibilities
1. AI Solution Development

• Develop and prototype AI/ML models for use cases such as:
  • Yield prediction and excursion detection
  • Equipment anomaly detection and predictive maintenance
  • Process parameter optimization
  • WIP flow / queue time risk analytics
• Translate manufacturing problems into data science solutions

2. Data Engineering & Analysis

• Extract, clean, and structure data from:
  • MES (Manufacturing Execution System)
  • Equipment logs / sensors
  • Yield and test data systems
• Perform exploratory data analysis (EDA) to identify patterns, correlations, and risks

3. Application Development & Automation

• Build lightweight AI-enabled tools, dashboards, or scripts to support daily operations:
  • Python-based tools
  • Power BI dashboards with ML insights
  • Automation scripts for reporting and monitoring
• Enable scalable and usable solutions for engineering teams

4. Cross-Functional Collaboration

• Work with PDE engineers to understand:
  • Assembly process flows
  • Key yield drivers and defect mechanisms
• Engage with manufacturing teams to validate models against real production scenarios

5. Documentation & Reporting

• Provide clear technical documentation:
  • Model design and assumptions
  • Data sources and quality considerations
  • Business impact and deployment recommendations
• Present insights and results in executive-ready formats

Qualifications
Education

• Pursuing a Bachelor's/Master's degree in:
  • Computer Science / Data Science / AI / Machine Learning
  • Electrical / Electronics / Semiconductor Engineering (with AI exposure)

Technical Skills

• Programming: Python (preferred), SQL
• ML frameworks: scikit-learn, TensorFlow, PyTorch
• Data handling: Pandas, NumPy
• Visualization: Power BI / Matplotlib / Seaborn
• Basic understanding of:
  • Statistics and data modeling
  • Machine learning algorithms

Nice-to-Have

• Exposure to manufacturing / semiconductor domain
• Experience with:
  • Time-series analysis
  • Anomaly detection techniques
  • Computer vision models
• Familiarity with MES or industrial datasets

Key Competencies

• Strong analytical and problem-solving mindset
• Ability to translate ambiguous problems into structured solutions
• Good communication skills (technical + business clarity)
• Self-driven with ability to work in a fast-paced engineering environment

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 [email protected]
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