Memory Design Engineer - Analog & Digital CMOS (DDEG IP)

Micron Technology, Inc.; Boise (ID); On-site; USD 90,000 - 135,000; Full time

Job summary

Micron Technology, Inc. in Boise, Idaho seeks a New College Grad Engineer in DDEG IP Development to design, simulate, and validate analog and digital circuits for DRAM memory products.

You'll collaborate across design, verification, process integration, and manufacturing teams to ensure performance, reliability, and manufacturability. Responsibilities include PDN design, circuit verification, and silicon correlation, with opportunities to apply AI-enabled tools to accelerate problem solving and

Qualifications

• Bachelor’s degree with 5+ years of progressive post-baccalaureate experience OR Master’s with 3+ years of relevant experience.
• Experience with analog and digital circuit design and simulation.
• Experience with power delivery network (PDN) circuit design, analysis, and optimization.

Responsibilities

• Design, simulate, analyze, and optimize analog and digital CMOS circuits used in DRAM and other memory products.
• Collaborate with cross-functional teams to meet performance, quality, reliability, and manufacturability goals.
• Perform circuit verification, layout review, parasitic extraction, and silicon correlation.

Skills

Analog circuit design

Digital circuit design

PDN design

Circuit verification

silicon validation

Education

Bachelor's degree in Computer Engineering, Electrical Engineering, Electronics Engineering

Master’s degree in Computer Engineering, Electrical Engineering, Electronics Engineering

Tools

Cadence

SPF extraction

Job description

Micron Technology, Inc. in Boise, Idaho seeks a New College Grad Engineer in DDEG IP Development to design, simulate, and validate analog and digital circuits for DRAM memory products.

You'll collaborate across design, verification, process integration, and manufacturing teams to ensure performance, reliability, and manufacturability. Responsibilities include PDN design, circuit verification, and silicon correlation, with opportunities to apply AI-enabled tools to accelerate problem solving and