Drimva

Micron

Staff Digital Physical Implementation and Integration Engineer

$145K–$246K

San Jose, CA · Staff · Full-time · Posted Aug 18, 2026

Experience
5+ years of digital physical design, including at least one full tapeout owned end-to-end.
Education
Bachelor’s degree in Computer Engineering or Electrical Engineering

About the job

Own physical implementation and top-level integration of large digital NAND designs, from planning and block-level APR through full-chip timing, physical-verification, and sign-off closure.

What you'll do

  • Plan and integrate top-level partitions, including placement, routing, constraints, pin optimization, and assembly.
  • Run block-level APR and STA; close timing, DRC, LVS, EM/IR, antenna, and ECO issues.
  • Automate design flows and collaborate with STA, DFT, CAD, and layout teams on methodology and integration.

What they ask for

  • Bachelor’s degree in Computer Engineering or Electrical Engineering.
  • Strong static timing analysis and debug skills; hands-on experience with PrimeTime and hierarchical physical-design flows.
  • End-to-end top-level digital integration and flat APR expertise using Innovus or ICC2.
  • Fluent in Tcl and one of Python/Perl; working proficiency with agentic AI for engineering, including AI assistants, MCP-based tool integration, and workflow automation.

Nice to have

  • Master’s degree or Ph.D. in Computer Engineering or Electrical Engineering.
  • Multi-partition SoC or memory integration experience, clock planning, memory or mixed-signal design, DFT familiarity, EDA-vendor AI tools, or methodology/CAD contributions.

Pay

$145,000.00 - $246,000.00 a year (USD, base salary)

Tools

PrimeTime, Cadence Innovus, Synopsys ICC2, Design Compiler, Genus, Calibre, Tcl, Python

AI focus

Use and extend Micron’s internal AI toolkit for engineering work; apply AI-powered assistants, MCP-based tool integration, and workflow automation. Familiarity with EDA-vendor AI tools is preferred.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)