Drimva

Intel

Semiconductor Device Modeling Engineer

$174K–$330K

US, Oregon, Hillsboro · Full-time · Posted Oct 30, 2026

Experience
Master's: at least 5+ years of industry experience in the semiconductor field; or Ph.D.: minimum 3+ years of industry experience in the semiconductor field. Also requires 3+ years of hands-on compact-modeling experience.
Education
Master's degree in Electrical Engineering or a related discipline; or Ph.D. in Electrical Engineering or a related discipline.

About the job

Develops and supports compact transistor models for Intel’s advanced semiconductor technologies, enabling customer design teams to build products.

What you'll do

  • Support compact modeling activities for new technologies.
  • Develop and fit transistor models, including LLE models for FinFET or GAAFET technologies.
  • Use Python scripting for automation and documentation.

What they ask for

  • Master's degree in Electrical Engineering or a related discipline, or Ph.D. in Electrical Engineering or a related discipline.
  • 3+ years of hands-on experience with BSIM-CMG and other compact models for transistor modeling at advanced nodes (e.g., FinFET, GAA).
  • Proficiency with extraction tools and commercial simulators.
  • Strong background in IV/CV fitting, model retargeting, and corner/statistical variation modeling; experience developing LLE models for FinFET or GAAFET technologies; skilled in Python scripting.

Nice to have

  • Ph.D. with 8+ years of industry experience in the semiconductor field.
  • Expertise in LDE, OMI, self-heating, device targeting and benchmarking, process/layout/circuit design, technical leadership, or machine learning applied to data analysis and compact model development.

Pay

$173,660.00-330,340.00 USD (annual salary range; base salary)

Tools

BSIM-CMG, ICCAP, MBP, HSPICE, Spectre, Python, Open Model Interface (OMI)

AI focus

Preferred experience with machine learning algorithms and their application in data analysis and compact model development.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 4, 2026 (UTC)