New College Grad - Engineer, Thin Films Equipment

Micron • Manassas, VA

22h • Onsite

About The Position

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. This role focuses on establishing and improving equipment condition and technology by leveraging data analytics and AI-driven insights to proactively identify performance gaps and optimize tool health. The position involves upgrading process capability, reducing production cost using AI-enabled process monitoring, predictive maintenance models, and advanced data analysis techniques. It also includes establishing and modifying process management projects, incorporating AI-based solutions, digital twins, and automation tools to enhance efficiency and scalability. The engineer will set up and optimize process parameters for semiconductor equipment using statistical modeling, machine learning, and R2R data optimization. Additionally, the role involves leading the evaluation, promotion, and planning of new equipment and materials, assessing AI readiness, automation capabilities, and integration with smart manufacturing systems. Performing abnormal analysis and continuous improvement through AI-assisted root cause analysis, pattern recognition, and anomaly detection is also a key responsibility. The engineer will utilize enterprise data platforms and AI tools to drive data-informed decision-making and collaborate across teams to implement AI-enabled ways of working and support Micron’s digital transformation initiatives.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level