DRAM Node Development Engineer — Production Ramp Lead

1000 Micron Technology, Inc.; Boise (ID); On-site; USD 90,000 - 140,000; Full time

Job summary

Micron Technology, Inc. seeks a High Volume Manufacturing (HVM) Node Development Product Engineer to drive the introduction of new DRAM nodes into production at the ID1 fab.

You will own yield ramp, cost efficiency, and quality improvements while partnering with Design, TD, Quality, and Test teams to solve complex problems. Responsibilities include leading node startup, qualification, and production readiness; analyzing yield data and failures; and applying statistical tools to optimize

Qualifications

• Bachelor's degree in Electrical or Computer Engineering or related field.
• Familiarity with DRAM architecture, operation, testing, and process integration.
• Understanding of CMOS fundamentals and performance characteristics.
• Strong problem-solving and analytical skills.
• Effective written and verbal communication skills.

Responsibilities

• Lead new node startup, qualification, yield ramp, and production readiness
• Guide development teams on process integration using deep technical insight
• Analyze yield data and electrical failures to drive measurable improvements
• Partner with Design, TD, Quality, and Test teams to resolve yield and performance issues
• Use statistical tools and lab analysis to identify root causes and optimize processes

Skills

Problem solving

Communication skills

DRAM architecture familiarity

CMOS fundamentals

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, or related field

Tools

CAD tools

Simulations

Statistical analysis

Job description

Micron Technology, Inc. seeks a High Volume Manufacturing (HVM) Node Development Product Engineer to drive the introduction of new DRAM nodes into production at the ID1 fab.

You will own yield ramp, cost efficiency, and quality improvements while partnering with Design, TD, Quality, and Test teams to solve complex problems. Responsibilities include leading node startup, qualification, and production readiness; analyzing yield data and failures; and applying statistical tools to optimize