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# New College Grad - Engineer, Thin Films Equipment

- **Company:** Micron Technology, Inc.
- **Location:** Manassas, VA, United States
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Machine Learning, Pattern Recognition, Enterprise Data Management, Digital Twin
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d3d24a7f22433031

## About the Role

* Bachelor's degree in Engineering (Mechanical, Electrical, Chemical, Materials Science, or related field)
 * Knowledge of Mechanical, Electrical, Chemical Systems and troubleshooting
 * Demonstrated ability to analyze problems and clearly communicate technical solutions and status
 * Basic understanding of semiconductor manufacturing processes or equipment through coursework, internships, or co-op experience
 * Strong willingness to learn, adapt, and work in a fast-paced, high-volume manufacturing environment
 * Ability to follow detailed procedures (SOPs, PM checklists) with high attention to safety and quality
 * Effective written and verbal communication skills with the ability to work in team-based environments, * Prior experience with OEM platforms (AMAT, LAM, TEL, ULVAC, Canon) or similar thin film toolsets
 * Experience in high-volume manufacturing (HVM) semiconductor fabs
 * Demonstrated leadership or ownership of tools, projects, or small teams
 * Experience with tool installs, upgrades, copy-exact transfers, or reliability improvement initiatives
 * Strong collaboration and communication skills across shift teams, engineering, and process groups

## Description

* Establish and improve equipment condition and technology by leveraging data analytics and AI-driven insights to proactively identify performance gaps and optimize tool health
 * Upgrade process capability and reduce production cost using AI-enabled process monitoring, predictive maintenance models, and advanced data analysis techniques
 * Establish and modify process management projects, incorporating AI-based solutions, digital twins, and automation tools to enhance efficiency and scalability
 * Set up and optimize process parameters for a variety of semiconductor equipment using statistical modeling, machine learning techniques, and run-to-run (R2R) data optimization strategies
 * Lead evaluation, promotion, and planning of new equipment and materials, including assessment of AI readiness, automation capabilities, and integration with smart manufacturing systems
 * Perform abnormal analysis and continuous improvement by applying AI-assisted root cause analysis, pattern recognition, and anomaly detection tools to enable faster and more accurate issue resolution
 * Utilize enterprise data platforms and AI tools (e.g., dashboards, predictive analytics systems) to drive data-informed decision-making and continuous operational improvement
 * Collaborate across engineering, manufacturing, and data science teams to implement AI-enabled ways of working and support Micron's digital transformation initiatives


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