New Grad DRAM Yield Engineer — AI-Driven Analysis

Micron Technology, Inc; Manassas (VA); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Medical plans

Dental plans

Vision plans

Paid time off

Job summary

Micron Technology, Inc. is seeking a New College Grad - Legacy DRAM Product Yield Enhancement Engineer to support legacy DRAM products through the manufacturing lifecycle.

You will focus on yield improvement, product reliability, and component failure analysis to enable stable production for industrial and automotive customers. You will use electrical and physical characterization techniques, AI-supported workflows, and statistical data analysis to identify failures related to fabrication and

Qualifications

• Bachelor’s degree in Electrical or Computer Engineering, Physics, or Materials Science with a solid academic record.
• Coursework in VLSI, device physics, semiconductor process, programming, and statistics is desirable.
• Familiarity with AI tools and a willingness to adopt new technologies and workflows.

Responsibilities

• Perform electrical failure analysis to understand failure mechanisms.
• Identify causes of component failures through statistical data analysis.
• Collaborate with cross-functional teams to resolve fabrication and assembly process defects and test-flow marginalities.
• Use statistical data analysis, data visualization, and AI tools to identify trends and accelerate root cause investigations.
• Communicate findings clearly through written reports and presentations.

Skills

Electrical Engineering

Physics

Materials Science

AI tools

Education

B.S. in Electrical Engineering

Related coursework in VLSI, device physics

Tools

Statistical analysis tools

AI workflows

Job description

Micron Technology, Inc. is seeking a New College Grad - Legacy DRAM Product Yield Enhancement Engineer to support legacy DRAM products through the manufacturing lifecycle.

You will focus on yield improvement, product reliability, and component failure analysis to enable stable production for industrial and automotive customers. You will use electrical and physical characterization techniques, AI-supported workflows, and statistical data analysis to identify failures related to fabrication and