New College Grad - Manufacturing Development Engineering (MDE) Shift Engineer

Micron • Boise, ID

9d

About The Position

As a Manufacturing Development Engineering (MDE) Shift Engineer at Micron Technology, you will enable 24/7 process development for next-generation DRAM technologies. You will support a specific process area, such as Photolithography, Films Deposition, Wet Process, CMP, Wafer Bonding, or Dry Etch, and serve as the primary engineering decision-maker for development activities during off-hours. The role works closely with Process Development, Process Integration, Equipment Development, Manufacturing, and Shift Operations teams to sustain development execution, increase learning velocity, and support technology roadmap objectives.

This position operates in a dynamic development environment where process conditions, specifications, and experimental flows frequently change. It calls for engineering judgment to disposition development wafers, make real-time process decisions, troubleshoot process and equipment issues, and balance execution needs with development objectives. The schedule is a 12-hour rotating shift, including nights, weekends, and holidays.

Requirements

• Master's degree in Chemical Engineering, Electrical Engineering, Materials Science, Physics, or a related engineering field; or a Bachelor of Science degree with proven experience in Semiconductor Manufacturing or Process Development.
• Ability to work a 12-hour rotating shift schedule, including nights, weekends, and holidays.
• Solid understanding of semiconductor manufacturing, process control methodologies, and engineering problem-solving techniques.
• Understanding of SPC, DOE, E3 fault detection, and data-driven decision-making methodologies.
• Solid understanding of Microsoft Office applications, including Excel, PowerPoint, and Word.
• Strong analytical, troubleshooting, and decision-making skills.

Nice To Haves

• Experience in area-specific process development and understanding of the fundamental sciences associated with the relevant area, such as chemistry, physics, or mechanical engineering.
• Experience in Manufacturing Development Engineering and/or High-Volume Manufacturing.
• Knowledge of semiconductor process integration, process control systems, and advanced manufacturing practices.
• Knowledge of SPC, DOE, and advanced process control methods.
• Experience dispositioning lots, supporting development experiments, and making engineering decisions in a process development environment.
• Experience with equipment troubleshooting, database tools, analytics, and AI-enabled engineering solutions.
• Excellent communication, organization, prioritization, and time-management skills, including the ability to work independently in a constantly evolving environment.
• Experience working with LLMs to improve workflow efficiency, data analysis, or engineering decision-making.

Responsibilities

• Serve as the primary off-shift engineering decision-maker for development activities, including wafer disposition, tool release or holds, actions on development targets, response to process deviations, and management of execution risks.
• Partner with Process Development, Process Integration, Equipment Development, Manufacturing, and Shift Operations teams to troubleshoot process and equipment issues, resolve output constraints, support experimental processing, and remove barriers to development execution.
• Use SPC, E3, other fault detection systems, and data analysis to investigate excursions, identify root causes, improve process performance, reduce defects, improve yield, and support qualification and optimization activities.
• Maintain accurate documentation, reaction plans, recipes, and process procedures; support cross-shift communication and change control; and escalate issues that could affect safety, cycle time, yield, or operational performance.
• Lead or participate in development projects, PMI data collection, audits, benchmarking activities, and implementation of best-known methods to improve development efficiency, execution quality, and organizational capability.
• Use Model Based Problem Solving, data analytics, and AI-enabled tools to improve decision quality and operational productivity.

Benefits

• Choice of medical, dental, and vision plans.
• Benefit programs that help protect income in the event of illness or injury.
• Paid family leave.
• Paid time-off program.
• Paid holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level