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Yield Analysis Engineer Jobs (NOW HIRING)

Analyze yield data and perform root cause analysis to identify opportunities for improvement and ... Provide technical guidance and mentorship to junior engineers and technicians in yield analysis ...

Analyze yield data and perform root cause analysis to identify opportunities for improvement and ... Provide technical guidance and mentorship to junior engineers and technicians in yield analysis ...

... Engineering, Test, Design, Platform, and Fab teams, you will analyze characterization and yield ... You have strong analytical judgment, communicate complex findings clearly, and can lead cross ...

This role provides deep expertise in yield analysis, failure analysis, and progressed materials ... Mentor junior yield and integration engineers in IR-specific failure analysis and yield ...

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Yield Analysis Engineer information

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$45.5K

$93.2K

$135.5K

How much do yield analysis engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for yield analysis engineer in the United States is $93,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $118,000.00 per year, depending on experience, location, and employer.

What is a yield analysis engineer?

Yield Analysis Engineers are professionals who focus on analyzing and improving the manufacturing yield of products, particularly in industries like semiconductor fabrication. They collect and interpret process data to identify patterns, root causes of yield loss, and opportunities for process optimization. Their work helps companies maximize production efficiency and minimize defects, ultimately reducing costs and increasing profitability. Yield Analysis Engineers collaborate with cross-functional teams, including manufacturing, quality assurance, and process engineering, to implement solutions that improve yield.

How does a yield analysis engineer typically collaborate with cross-functional teams to address manufacturing issues?

Yield Analysis Engineers regularly work alongside process engineers, product engineers, and quality assurance teams to identify and resolve manufacturing bottlenecks or defects. They analyze data from production lines, share findings with relevant teams, and participate in root cause analyses to implement corrective actions. This collaborative approach ensures that yield improvements are based on comprehensive insights and that solutions are effectively integrated into existing workflows. Strong communication and teamwork skills are essential in this role, as addressing yield challenges often requires input from multiple technical disciplines.

What are the key skills and qualifications needed to thrive as a yield analysis engineer, and why are they important?

To thrive as a Yield Analysis Engineer, you need a solid background in electrical engineering, semiconductor manufacturing, and data analysis, typically supported by a relevant engineering degree. Experience with statistical analysis tools (like JMP or Minitab), data visualization software, and familiarity with yield management systems are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you identify issues and collaborate with cross-functional teams. These skills are crucial for optimizing manufacturing processes, reducing defects, and ensuring high product yield in a competitive semiconductor industry.

What is the difference between Yield Analysis Engineer vs Process Engineer?

AspectYield Analysis EngineerProcess Engineer
Primary FocusAnalyzing and improving manufacturing yields through data analysisDesigning, implementing, and optimizing manufacturing processes
Skills & CertificationsData analysis, statistical tools, engineering fundamentalsProcess design, engineering principles, certifications like Six Sigma
Work EnvironmentManufacturing plants, R&D labs, data analysis teamsProduction floors, process development departments

While both roles are integral to manufacturing, Yield Analysis Engineers focus on analyzing yield data to identify issues and improve output, whereas Process Engineers develop and optimize manufacturing processes. Both roles require strong analytical skills and engineering knowledge, often working closely to enhance production efficiency.

How much does a yield analysis engineer make?

A yield analysis engineer typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced engineers with specialized skills or certifications can earn higher salaries. The role often requires knowledge of semiconductor manufacturing processes and data analysis tools.
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Infographic showing various Yield Analysis Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $93,179 per year, or $44.8 per hour.

MTS Yield Deviation/YT Engineer

Boise, ID • On-site

Micron Technology
Semiconductor and Electronic Component Manufacturing • 10K+ employees

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago

New


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz


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.
Our Yield Analysis team plays a critical role in enabling Micron's next generation memory products and supporting the historic expansion of our Boise manufacturing site. We combine deep semiconductor expertise, advanced analytics, and cross-functional collaboration to accelerate yield learning, improve product quality, and drive manufacturing excellence. Join a team that is shaping the future of semiconductor innovation through data-driven problem solving and continuous improvement.
As a Deviation & Yield Tail Yield Analysis Engineer, you will lead efforts to identify, characterize, and resolve yield loss mechanisms that impact manufacturing performance. This role offers the opportunity to leverage advanced analytics, AI-enabled tools, failure analysis, and model-based problem solving to uncover root causes, drive corrective actions, and deliver sustainable yield improvement across high-volume manufacturing operations.
Responsibilities:
  • Monitor probe yield performance to identify yield deviations, yield-tail losses, emerging failure signatures, and excursion events using lot, wafer, die, bitmap, and parametric analysis
  • Lead MBPS and root cause investigations using hypothesis-driven problem solving, statistical analysis, fault trees, and process correlation techniques to achieve verified physical root cause
  • Drive defect characterization and failure analysis activities by correlating electrical signatures, inspection data, EFA/PFA findings, and yield-loss mechanisms
  • Partner with Process Integration, Process Engineering, RDA, Quality, Manufacturing, and Failure Analysis teams to implement and validate corrective and preventive actions
  • Develop and deploy analytics, dashboards, automation solutions, and AI-enabled workflows that improve issue sourcing, RCA efficiency, and yield performance

Minimum Qualifications:
  • Master's degree in Electrical Engineering, Materials Science, Physics, or a related technical discipline
  • 10+ years of semiconductor industry experience
  • 10+ years of experience in semiconductor physics, transistor operation, scaling limitations, reliability fundamentals, and CMOS characterization methods
  • 7+ years of experience using data analysis tools such as JMP, Python, or similar software
  • Demonstrated experience performing data-driven yield analysis and root cause investigations in a semiconductor manufacturing environment

Preferred Qualifications:
  • DRAM manufacturing experience
  • 5+ years of experience in yield-tail analysis, yield deviation sourcing, or RDA within a manufacturing or high-volume manufacturing environment
  • Experience using AI-assisted analytics to enhance data interpretation, anomaly detection, and yield improvement initiatives
  • Experience developing automation, dashboards, or AI-enabled solutions that improve engineering productivity and problem-solving effectiveness

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. 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. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
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.
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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 hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
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.
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.

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