CMOS Device Integration Staff Engineer - Memory Tech for AI

Micron Technology, Inc.; Boise (ID); On-site; USD 150,000 - 210,000; Full time

Job summary

Micron Technology, Inc. in Boise, ID seeks a Staff Engineer to drive CMOS device development for next-generation memory products. You will tackle device and integration challenges to enable higher performance and scalability.

You will collaborate across design, process, reliability, and manufacturing teams to improve data rates and product quality while supporting AI and HPC applications. A PhD or MS with 5+ years in the field is expected, with strong leadership and communication skills.

Qualifications

• Master’s degree or PhD in Electrical Engineering or equivalent practical experience.
• 5+ years hands-on experience in advanced CMOS device development, characterization, and/or integration.
• Semiconductor industry experience in advanced logic or DRAM technology development.
• Experience collaborating across engineering fields to solve sophisticated device or process integration challenges.

Responsibilities

• Develop and integrate advanced CMOS devices for next-generation DRAM, HBM, and emerging memory architectures.
• Characterize and analyze CMOS devices and circuits to identify performance opportunities and guide technology improvements.
• Partner with Design, TCAD, Modeling, Process, Reliability, and Layout teams to develop integrated technology solutions.
• Lead technical investigations, communicate findings, and provide recommendations that support technology development decisions.

Skills

CMOS device development

Electrical engineering

AI analytics

Education

Master's or PhD in Electrical Engineering

Job description

Micron Technology, Inc. in Boise, ID seeks a Staff Engineer to drive CMOS device development for next-generation memory products. You will tackle device and integration challenges to enable higher performance and scalability.

You will collaborate across design, process, reliability, and manufacturing teams to improve data rates and product quality while supporting AI and HPC applications. A PhD or MS with 5+ years in the field is expected, with strong leadership and communication skills.