EFA TECH

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.

As an EFA Engineer at MTB, you will be responsible for Electrical Failure Analysis (EFA) to provide the direction of Physical Failure Analysis (PFA) and validation of tested fail parts, providing value-added engineering solutions, and driving continuous improvement projects in Test processes. You will also provide support in product test proliferation and excursion management activities. In this role, you will leverage AI-enabled tools, Artificial Intelligence technologies, Large Language Models (LLMs), Generative AI, AI-assisted analytics, and data-driven methodologies to accelerate failure diagnosis, enhance root cause investigations, improve engineering productivity, and support operational excellence. You will collaborate with cross-functional teams to improve product quality, yield performance, reliability, and manufacturing effectiveness while contributing to Micron's AI transformation initiatives. Responsibilities and Tasks Safety and Compliance Performs a JHA prior to starting an activity that may contain a potential hazard not already covered in current procedures. Understands that he/she has the right and responsibility to hold other lab personnel accountable for following all safety and environmental procedures and that he/she should immediately address all violations with the employee or the employee's direct supervisor. Supports Company and Department Objectives Understands and supports company and department objectives and vision plans. Successfully executes against assigned goals in support of objectives. Proactively takes action on lagging goals in order to complete objectives on time. Actively adopts AI-enabled, AI-supported, and data-driven solutions to improve engineering effectiveness, decision-making, knowledge sharing, and continuous improvement initiatives. Yield Monitoring, Investigation & Response Completes logouts and monitor notes according to published guidelines. Enters monitor notes that accurately and thoroughly describe the issue. Recognizes and proactively responds to and communicates new multiple-lot issues. Utilizes knowledge of past and present issues to make informed decisions on probable sources of new yield issues. Stays up to date on active die loss references and applies knowledge to die loss accurately. Recalls historical die loss references to identify recurring issues and trends. Is able to perform all data analysis techniques:a) where proficiency is expected based on currently published EFA TRAIN profile complete guidelines and b) any additional techniques that he/she is certified on beyond those required for the employee's current job mapping. Uses the above expected data analysis techniques and any other available data to attempt root cause determination prior to requesting a wafer pull. Utilizes AI-assisted analytics, AI-augmented data mining tools, Large Language Models (LLMs), Generative AI, and other advanced analytical solutions where applicable to identify trends, accelerate failure pattern recognition, improve investigation efficiency, and support engineering decision-making. Looks for additionally affected material when new issues are seen and generates affected lot lists when applicable. For issues discovered during off-hours that warrant immediate attention, works with Shift Lead to develop a strategy to: Attempt root cause analysis using whatever method is best suited for the issue (e.g., EFA, Datamining, AI-assisted analytics, Generative AI tools, Agentic AI solutions, or other engineering methodologies). Communicate the issue to affected areas along with suggested actions. Uses appropriate forms of communication depending on the priority of the item to