Drimva

Micron

New College Grad - ENGINEER, DDEG IP DEVELOPMENT

Boise, ID - Main Site · Entry level · Full-time · Posted Oct 22, 2026

Experience
5 years of progressive post-baccalaureate experience with a bachelor’s degree, OR 3 years of relevant experience with a master’s degree.
Education
Bachelor’s or master’s degree in Computer Engineering, Electrical Engineering, Electronics Engineering, or a related field.

About the job

Designs, simulates, verifies, and validates analog and digital circuits for DRAM and other advanced memory products across the product lifecycle.

What you'll do

  • Design, analyze, and optimize CMOS circuits, including power delivery network circuitry and block-level power generators.
  • Collaborate with cross-functional teams to develop memory products that meet performance, quality, manufacturing, and cost objectives.
  • Perform circuit and layout verification, parasitic extraction analysis, and silicon correlation.

What they ask for

  • Bachelor’s degree in Computer Engineering, Electrical Engineering, Electronics Engineering, or a related field with 5 years of progressive post-baccalaureate experience; OR Master’s degree in one of these fields or a related field with 3 years of relevant experience.
  • Experience with analog and digital circuit design and simulation, and with power delivery network (PDN) circuit design, analysis, and optimization.
  • Experience using UNIX and CADENCE design environments, including simulation, schematic entry, and SPF extraction.
  • Experience performing circuit verification, layout verification, parasitic extraction, semiconductor device evaluation, and circuit optimization.

Nice to have

  • Experience designing memory circuits, including DRAM or other high-performance semiconductor products.
  • Understanding of transistor modeling, CMOS design methodologies, and silicon validation; experience with cross-functional teams or AI-assisted engineering workflows.

Tools

CMOS, DRAM, PDN, UNIX, CADENCE, SPF, Microsoft Copilot

AI focus

Use AI-enabled tools, including Microsoft Copilot and approved AI solutions, to improve productivity and engineering decision-making; validate AI-generated outputs for accuracy, quality, and compliance.

Model-written summary · the original posting is authoritative

First seen Oct 22, 2026 · Last verified Nov 5, 2026 (UTC)