Yield Analysis Engineer

3000 Micron Idaho Semiconductor Manufacturing (Triton) LLC; Boise (ID); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Medical, dental and vision plans

Paid time off

Reasonable accommodations

Job summary

Micron Technology in Boise, Idaho seeks a Yield Analysis Engineer to drive yield improvements through advanced data analysis, defect characterization, and root-cause investigation.

You will collaborate with Process Integration, Process Engineering and Failure Analysis to identify yield limiters and deliver sustainable improvements using AI-powered analytics.

Qualifications

• Bachelor’s degree in a technical field required; 3+ years semiconductor manufacturing experience preferred.
• Experience with data analysis tools (JMP, Python) and AI-enabled analytics for manufacturing is desired.

Responsibilities

• Monitor yield trends and identify excursions; explain gaps between target and actual performance.
• Perform advanced data analysis and develop yield Pareto charts to prioritize issues.
• Apply statistical methods and data-mining to identify root causes and opportunities for process improvement.
• Collaborate with Failure Analysis, Process Integration, and Process Engineering to correlate data and drive resolution.
• Develop and share best practices, automation, and analytics approaches across teams to improve yield.

Skills

Data analysis

Python

AI tools

Statistical methods

Yield analysis

Education

Bachelor’s degree in Electrical Engineering, Materials Science, Physics or related field

Master’s degree in Computer Science, Engineering or related field

Tools

JMP

Python

Job description

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 Boise Expansion Team is helping build the future of semiconductor manufacturing as Micron expands its leading-edge memory production in Boise, Idaho. We are a collaborative organization focused on innovation, operational excellence, and continuous improvement. Join a team where your work will directly influence product quality, manufacturing performance, and the next generation of technology. As a Yield Analysis Engineer, you will play a key role in improving fab yield through advanced data analysis, defect characterization, and root cause investigation. You will work closely with Process Integration, Process Engineering, and Failure Analysis teams to identify yield limiters, drive corrective actions, and deliver sustainable yield improvements. This role offers the opportunity to combine semiconductor expertise, analytics, and AI-enabled tools to solve complex manufacturing challenges.

Responsibilities

• Monitor probe yields and trends to identify yield excursions, characterize yield loss, and explain gaps between target and actual performance
• Perform advanced data analysis and develop yield paretos to prioritize issues and guide factory yield-improvement efforts
• Apply statistical methods and data-mining techniques to identify root causes and uncover opportunities for process improvement
• Partner with Failure Analysis, Process Integration, and Process Engineering teams to correlate electrical, physical, and manufacturing data and drive issue resolution
• Develop and share best known methods, automation solutions, and analytical approaches across global teams to improve yield performance

Minimum Qualifications

• Bachelor’s degree in Electrical Engineering, Materials Science, Physics, or a related technical field
• 3+ years of semiconductor manufacturing experience
• 2+ years of experience in semiconductor physics, transistor operation, device scaling, reliability, CMOS circuits, and characterization methods
• 2+ years of experience using data analysis tools such as JMP, Python, or similar software
• Experience using AI, machine learning, or generative AI tools to enhance data analysis, automate workflows, and improve engineering productivity

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, or a related technical field
• DRAM manufacturing experience
• 2-4 years of experience in Yield Analysis or RDA within a high-volume manufacturing environment
• Experience with defect inspection, metrology, process control, and failure analysis methodologies
• Experience using AI-assisted analytics to enhance data interpretation, anomaly detection, and yield improvement initiatives

Micron benefits

• We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget.
• Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave.
• Additionally, Micron benefits include a robust paid time-off program and paid holidays.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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.

To learn your right to work click here. to learn more about Micron, please visit micron.com/careers. For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at [e-mail] or 1-800-336-8918 (select option #3).

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. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.