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 a Realtime Defect Analysis (RDA) Technology Development Engineer at Micron, you will learn how to use pioneering defect detection equipment and processes to fix and solve issues. The goal of this position is to accelerate cycles of learning and technology transfer in Technology Development. We need engineers who are passionate about detecting problems and eager to make changes for the better.

You will have the opportunity to learn defect detection equipment applications and also use data analysis skills to identify and solve process issues. This position will provide the opportunity for you to collaborate with engineers in process integration, process development, data science, and yield analysis within and outside Technology Development. As a Technology Development RDA engineer, your ideas will have the ability to impact the team globally. You will be responsible to support experimentation, data analysis, baseline health metrics, and systematic and random defect improvement through partnering with others in Research and Development and High Volume Manufacturing.

• Defect Monitoring Equipment Ownership: Take charge of one or more types of defect monitoring equipment.
• Equipment Management: Set up equipment, monitor stability, improve capability, and interact with vendor representatives for advanced functionality and application work.
• Application Ownership: Set up recipes and analyze data.
• Tool Utilization: Use assigned toolsets for advanced recipe setup and basic troubleshooting
• Recipe Management: Write or modify equipment recipes to support the needs of the RDA area.
• Tool Recovery: Perform basic and advanced recoveries of down tools for assigned workstations.
• Software Upgrades: Drive software upgrades and improvements, working with internal and external vendors for implementation.
• Tool Monitoring: Monitor tool qualification SPC charts for deviations, initiate tool repairs, and adjust limits as necessary.
• Data Science skills: Ready to learn and apply basic scripting, coding, or programming.
• Data Analysis: Collect and analyze tool/process data to suggest ways to improve performance and efficiency.
• Alarm Management: Review recipe-related alarm and error messages on assigned toolsets, document reactions, and drive incident reduction.
• Process Development: Develop tool operation and recipe-writing processes, updating procedures when gaps or improvements are identified.
• Training: Provide training for area engineers and technicians on tool operation and recipe-writing.
• Tool Audits: Work with vendor representatives to audit new tools upon arrival.
• Collaboration: Collaborate with vendors for escalation results on application issues and with Equipment Owners to identify long-term solutions to tool issues.
• Certification: Design and/or instruct classes for certification of others, based on vendor materials, on-the-job training, or best-known methods. Evaluate certification data to identify personal training gaps and pursue area certifications to increase skill levels.