Micron
SoC Physical Verification Engineer, HBM
$97K–$205K
Folsom, CA +1 · Full-time · Posted Aug 28, 2026
- Location
- Folsom, CA
Richardson, TX - Experience
- 2 or more years of relevant industry experience (listed in preferred qualifications).
- Education
- Master’s or PhD in Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
About the job
Own physical-verification sign-off for next-generation HBM logic dies and memory-centric SoCs, from layout through tape-out and silicon bring-up.
What you'll do
- Execute and close full-chip and hierarchical verification, including DRC, LVS, ERC, PERC, antenna, DFM, reliability, density, metal-fill, and CMP checks.
- Develop and optimize verification rule decks, flows, automation, and regression infrastructure; perform parasitic RC extraction and support correlation with silicon measurements.
- Collaborate across design, CAD, product engineering, EDA, and foundry teams, and drive adoption of AI/ML tools and AI-assisted workflows.
What they ask for
- Experience with full-chip or block-level physical verification for advanced-node SoC, memory, or heterogeneous-integration designs.
- Experience with DRC, LVS, ERC, PERC, DFM, antenna, and reliability sign-off methodologies.
- Experience with tools such as Calibre, IC Validator (ICV), Pegasus, or similar, including rule-deck development or customization.
- Working knowledge of RTL-to-GDS flows, including place-and-route and extraction; proficiency demonstrating AI and AI-enabled development workflows.
Nice to have
- HBM, DRAM, memory-centric SoC, multi-die, chiplet, or 2.5D/3D integration experience.
- GPU, CPU, or accelerator implementation experience; foundry rules and manufacturability familiarity; or post-silicon analysis and yield-learning exposure.
Pay
$97,000.00 - $205,000.00 a year (USD; base salary)
Tools
Calibre, IC Validator (ICV), Pegasus, Python, Tcl, Perl, TSMC
AI focus
Drive adoption of machine-learning and AI-based physical-verification and PPA-optimization tools, and demonstrate AI-assisted development workflows.
Model-written summary · the original posting is authoritative