Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
Your Role
Turn data into discoveries that improve how memory chips are made. As a Yield Enhancement (YE) Engineer, you will investigate chip failures, use statistical analysis and AI-assisted tools to uncover insights, and connect engineering teams to solve manufacturing problems. Your work will improve yield - the proportion of chips that meet requirements, and support quality and manufacturing efficiency.
What You’ll learn
Build your engineering skills through real semiconductor investigations. You will have opportunities to deepen your understanding of device physics and manufacturing, develop statistical analysis, visualization, and responsible AI skills, and learn how different engineering disciplines work together. You will also gain experience testing hypotheses, communicating technical findings, and using evidence to inform production decisions.
What You’ll Do
Investigate wafer maps, electrical tests, and failure analysis to identify patterns and potential manufacturing or device issues.
Test root-cause hypotheses with process teams by comparing affected and unaffected wafers and reviewing process and equipment histories.
Analyze and visualize yield trends, quantify failure patterns, and link manufacturing conditions to chip performance. Rank your product’s main yield losses to prioritize yield, quality, and efficiency improvements.
Use AI-assisted tools to explore data, summarize findings, and streamline analysis. Test and share approaches, validate outputs against data and engineering knowledge, and follow organizational standards and legal requirements.
Connect expertise across process, device, design, test, manufacturing, and YE teams to align findings and coordinate yield investigations.
Present clear problem statements, evidence-based recommendations, and next steps to engineering teams and broader audiences, noting open questions and technical constraints.
Validate corrective actions with partner teams and monitor yield to confirm sustained improvements or identify further investigation needs.
Support next-generation technology transfers from research and development to production when needed, using investigation findings to resolve yield challenges as manufacturing scales up.
Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
Requirements
Bachelor’s or advanced degree in Engineering or Science is required
Strong analytical, logical, and critical thinking skills
Effective communicator, able to collaborate across all levels
Growth mindset with a passion for continuous learning
Internship or experience in the semiconductor industry is a plus
Demonstrated leadership and a track record of impact are highly desirable
Interest in and knowledge of the semiconductor industry and Micron is preferred.
Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.
Embody Micron’s core values: People – Care for each other
Innovation – Shape the future
Tenacity – Nothing shakes our resolve
Collaboration : Aligned to win
Customer focus : Partner and win together
Speed -…