Overview In this role you will optimize high-volume semiconductor manufacturing processes to boost yield, quality, and output. You'll work with equipment engineers and shift teams to resolve issues and drive continuous improvements. You will apply AI-enabled analytics and engineering methods to support data-driven decisions. This position supports a 12-hour shift schedule with a rotating day/night cycle, contributing to Micron's manufacturing ramp and efficiency goals.
Compensation / Benefits- medical, dental and vision plans
- robust paid time-off program
- paid holidays
- paid family leave
- retirement or other security programs (as per benefits guide)
Responsibilities- Monitor and optimize manufacturing processes to improve yield, quality, efficiency, and equipment effectiveness
- Analyze process performance using SPC, FDC, DOE, and other methodologies to identify trends and drive problem solving
- Lead issue resolution on processes, tools, defects, yield, and output-related concerns
- Develop and maintain operational procedures, checklists, documentation, and training materials
- Apply AI-enabled analytics tools and data visualization to identify improvement opportunities and support data-driven decisions
Key requirements- Bachelor's or Master's degree in a related engineering field or equivalent experience
- More than 2 years' experience as a semiconductor process engineer
- Willingness to work in a cleanroom environment on 12-hour shifts, rotating 3-4 days/week with day/night rotation
- Knowledge of SPC, DOE, and structured problem-solving methodologies
- Proficiency with programming/scripting/analytics/visualization tools (Python, Java, MATLAB, Tableau, or MS Office)
- Experience analyzing complex manufacturing data and making process-related decisions
- Strong verbal and written communication
- Cross-functional collaboration
- Problem-solving mindset
- Statistics and process control (SPC)
- Design of Experiments (DOE)
- AI-enabled analytics and data visualization
