Our vision is to transform how the world uses information to enrich life for all.

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.

The Fab Engineering team supports semiconductor manufacturing by driving process performance, product quality, and operational efficiency. The team partners closely with equipment, quality, and production organizations to enable stable processes, improve yield, and deliver consistent manufacturing outcomes.

Join us and make a change!

As Principal Engineer for Region E in Central Teams Advanced Development Team, you will own and sustain semiconductor manufacturing integration and processes within the fab. You will solve process and flow issues, analyze performance data, and implement solutions that improve yield, quality, and cycle time. This role plays a direct part in enabling high-volume manufacturing through structured problem solving and multi-functional execution.

Responsibilities:

• Own process performance and drive improvements in yield, quality, and cycle time
• Troubleshoot manufacturing issues using structured methodologies (e.g., root cause analysis, FMEA, SPC, 8D)
• Analyze process data to identify trends, gaps, and improvement opportunities
• Define, monitor, and adjust process parameters across semiconductor manufacturing equipment
• Partner with cross-functional teams to resolve process excursions and implement corrective actions
• Support qualification and integration of new equipment, materials, and process changes
• Drive initiatives focused on yield improvement, cost reduction, and productivity
• Perform defect analysis and long-term investigations to improve process stability and reliability

Minimum Qualifications:

• Bachelor’s degree in Engineering or a related technical field
• 5+ years of experience in semiconductor manufacturing or process engineering
• Experience resolving manufacturing process issues using root cause analysis
• Working knowledge of statistical and process control systems (SPC, FDC, APC, or similar)
• Ability to collaborate across engineering and production teams to solve complex problems

Preferred Qualifications:

• Master’s degree or PhD in Engineering or a related field
• Experience in Region E module or similar semiconductor process areas
• Experience driving yield improvement and process optimization efforts
• Strong analytical and data interpretation skills
• Ability to communicate technical information clearly and lead initiatives to completion

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]

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.   

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