New College Grad - Ram Quality Engineer

micron | Semiconductor manufacturing

14d ago

On-site

Full Time

United States of America

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 Realtime Defect Analysis (RDA) and Metrology organization plays a critical role in enabling advanced semiconductor manufacturing through defect detection, process monitoring, quality control, and continuous improvement. The team partners closely with global manufacturing sites, process integration, process development, yield engineering, data science, and other stakeholders to drive defect reduction, prevent excursions, and ensure alignment with global quality standards.

As an ID1 RDA Quality Engineer, you will develop and implement quality systems, monitoring strategies, and best-known methods (BKMs) that support defect detection and metrology operations. This role offers the opportunity to learn next-generation defect inspection technologies, drive quality improvements through data analysis, support excursion mitigation activities, and collaborate with global partners to transfer technology into high-volume manufacturing (HVM). Your contributions will directly influence manufacturing quality, operational efficiency, and yield performance across Micron's global network.

Responsibilities

Develop, implement, and maintain quality control systems, standards, and BKMs for the RDA and Metrology organization.
Monitor and analyze quality performance metrics, baseline health indicators, SPC compliance, and wafer-at-risk events to identify trends and drive corrective actions.
Lead or support excursion mitigation activities, failure mode and effects analysis (FMEA), sampling strategy development, and audit execution, including documentation of findings and improvement recommendations.
Collaborate with global manufacturing sites, process integration, process development, yield analysis, and data science teams to align quality methodologies and transfer technology to HVM.
Utilize AI-enabled tools and data analytics to improve process monitoring, quality assessment, problem solving, operational efficiency, and data-driven decision making.

Minimum Qualifications

Bachelor's degree in Engineering, Materials Science, Physics, Chemistry, Data Science, or a related technical field.
Experience analyzing manufacturing, process, quality, or engineering data to identify trends and drive process improvements.
Demonstrated understanding of statistical process control (SPC), root cause analysis, and quality management principles.
Strong written and verbal communication skills with the ability to present technical findings to cross-functional teams.
Experience using data analysis tools, reporting systems, or AI-enabled technologies to support decision making and continuous improvement initiatives.

Preferred Qualifications

Master's degree in Engineering, Materials Science, Data Science, or a related technical discipline.
Experience in semiconductor manufacturing, defect inspection, metrology, yield engineering, or quality engineering environments.
Knowledge of FMEA, sampling methodologies, auditing practices, and excursion management processes.
Experience collaborating with global or cross-site teams to implement process improvements and technology transfers.
Proficiency with advanced data analytics, visualization tools, and AI-supported solutions for operational performance monitoring and quality improvement.

AI & Digital Capability

Utilize AI-enabled tools and data analytics to improve process monitoring, quality assessment, problem solving, and operational efficiency.
Demonstrate the ability to leverage AI technologies to support data-driven decision making, continuous improvement initiatives, and manufacturing quality outcomes.
Apply AI-assisted analytical approaches to identify trends, evaluate process performance, and support proactive risk mitigation strategies.

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

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.

Required Languages

🇬🇧 English

Responsibilities

Develop, implement, and maintain quality control systems, standards, and BKMs for the RDA and Metrology organization.

Monitor and analyze quality performance metrics, baseline health indicators, SPC compliance, and wafer-at-risk events to identify trends and drive corrective actions.

Lead or support excursion mitigation activities, failure mode and effects analysis (FMEA), sampling strategy development, and audit execution, including documentation of findings and improvement recommendations.

Collaborate with global manufacturing sites, process integration, process development, yield analysis, and data science teams to align quality methodologies and transfer technology to HVM.

Utilize AI-enabled tools and data analytics to improve process monitoring, quality assessment, problem solving, operational efficiency, and data-driven decision making.

Minimum Qualifications

Bachelor's degree in Engineering, Materials Science, Physics, Chemistry, Data Science, or a related technical field.

Experience analyzing manufacturing, process, quality, or engineering data to identify trends and drive process improvements.

Demonstrated understanding of statistical process control (SPC), root cause analysis, and quality management principles.

Strong written and verbal communication skills with the ability to present technical findings to cross-functional teams.

Experience using data analysis tools, reporting systems, or AI-enabled technologies to support decision making and continuous improvement initiatives.

Preferred Qualifications

Master's degree in Engineering, Materials Science, Data Science, or a related technical discipline.

Experience in semiconductor manufacturing, defect inspection, metrology, yield engineering, or quality engineering environments.

Knowledge of FMEA, sampling methodologies, auditing practices, and excursion management processes.

Experience collaborating with global or cross-site teams to implement process improvements and technology transfers.

Proficiency with advanced data analytics, visualization tools, and AI-supported solutions for operational performance monitoring and quality improvement.

AI & Digital Capability

Utilize AI-enabled tools and data analytics to improve process monitoring, quality assessment, problem solving, and operational efficiency.

Demonstrate the ability to leverage AI technologies to support data-driven decision making, continuous improvement initiatives, and manufacturing quality outcomes.

Apply AI-assisted analytical approaches to identify trends, evaluate process performance, and support proactive risk mitigation strategies.