Senior Semiconductor Device Modeling Engineer

Intel Corporation; Santa Clara (CA); Hybrid; USD 150,000 - 285,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Vacation

Job summary

Intel Corporation in Oregon/Hillsboro and Santa Clara seeks a Staff Device Modeling Engineer to advance circuit modeling for next‑gen semiconductor tech. You will collaborate with cross‑functional teams to develop high‑quality tools aligned with roadmaps and optimized PDK design.

Responsibilities include delivering compact models (FinFET/GAA), performing statistical and RF/EM simulations, and driving validation milestones with Python scripting. Hybrid work model offered.

Qualifications

• Degrees in Electrical Engineering or related field with relevant experience.
• Experience in compact modeling for FinFET/GAAFET devices.
• Experience with script-based data analysis and modeling tools.
• Familiarity with RF and EM simulation workflows.

Responsibilities

• Collaborate with PDK teams to align modeling with roadmaps.
• Validate simulation models and drive milestone readiness.
• Develop compact device models (FinFET, GAA) and assess layout effects.
• Conduct data analysis using Python and related tools.
• Implement benchmarking and Open Model Interface methodologies.
• Coordinate across geographies for integration and optimization.

Skills

Compact modeling techniques

Python scripting

Statistical modeling

RF/EM simulation

HSPICE/Spectre experience

Education

Bachelor’s degree in Electrical Engineering

Master’s degree in Electrical Engineering

Ph.D. in Electrical Engineering

Tools

HSPICE

Spectre

ICCAP

MBP

Job description

Intel Corporation in Oregon/Hillsboro and Santa Clara seeks a Staff Device Modeling Engineer to advance circuit modeling for next‑gen semiconductor tech. You will collaborate with cross‑functional teams to develop high‑quality tools aligned with roadmaps and optimized PDK design.

Responsibilities include delivering compact models (FinFET/GAA), performing statistical and RF/EM simulations, and driving validation milestones with Python scripting. Hybrid work model offered.