New College Grad - Engineer, Photolithography Equipment

Micron Technology • Manassas, VA

2d

About The Position

As a Photolithography Equipment Engineer, you will oversee the installation, modification, upgrade and maintenance of manufacturing equipment while maintaining current records on equipment manufacturers’ technical notices, upgrades and safety issues. Studies equipment performance and reliability. Further, you will also establish programs and solutions for increasing uptime and for equipment problems that affect the manufacturing process.

Requirements

• Bachelor’s degree or equivalent experience 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

Nice To Haves

• Familiarity with semiconductor manufacturing equipment, particularly photolithography equipment such as TEL track systems.
• Ability to understand equipment assemblies, interpret technical drawings and schematics, and apply systematic troubleshooting and root cause analysis techniques to diagnose and resolve equipment issues.
• Understanding of photolithography process fundamentals, including coating, exposure, develop, and defect control.
• Experience with data analysis, SPC, DOE, JMP, Python, MATLAB, or similar analytical tools.
• Demonstrated troubleshooting and root-cause analysis skills through academic projects, internships, or research.

Responsibilities

• Establish and improve equipment condition and technology by using 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
• 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
• Use enterprise data platforms and AI tools (e.g., dashboards, predictive analytics systems) to drive data-informed decision-making and continuous operational improvement

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