Semiconductor Device Modeling Engineer

Location: On-site in Hillsboro, Oregon, United States

Annual salary: $173,660–$330,340 USD

Company

hirify.global is presented as the hiring company; the role description identifies the Compact Device Modeling Group as part of Intel's Design Technology Platform organization, supporting semiconductor technology development and foundry customers.

What you will do

• Develop and support compact models for Intel's advanced semiconductor technologies.
• Co-optimize process technology and modeling to help design teams deliver products for data-centric applications.
• Perform transistor model extraction, IV/CV fitting, model retargeting, and corner/statistical variation modeling.
• Develop LLE models for FinFET and GAAFET technologies.
• Automate modeling workflows and documentation with Python.
• Collaborate across multiple teams and geographies on device modeling activities.

Requirements

• Master's degree in Electrical Engineering or a related discipline with at least 5+ years of semiconductor industry experience, or a Ph.D. in Electrical Engineering or a related discipline with at least 3+ years of semiconductor industry experience.
• At least 3 years of hands-on experience with BSIM-CMG and other compact models for transistor modeling at advanced nodes such as FinFET and GAA.
• Proficiency with extraction tools such as ICCAP or MBP and commercial simulators such as HSPICE or Spectre.
• Strong background in IV/CV fitting, model retargeting, and corner/statistical variation modeling.
• Experience developing LLE models for FinFET or GAAFET technologies.
• Python scripting skills for automation and documentation.

Nice to have

• Ph.D. in Electrical Engineering or a related discipline with 8+ years of semiconductor industry experience.
• Expertise in layout-dependent effects, Open Model Interface modeling, process flow, layout, and basic circuit design or simulation.
• Experience modeling self-heating effects and their impact on device and circuit performance.
• Experience developing device-targeting and benchmarking methodologies, including corners and statistical variation models.
• Technical leadership experience and the ability to collaborate across multiple teams and geographies.
• Experience applying machine learning algorithms to data analysis and compact model development.

Culture & Benefits

• On-site work model is required.
• Full-time experienced-hire position on Shift 1 in the United States.
• Benefits include health coverage, retirement benefits, vacation, competitive pay, and stock bonuses.
• Hiring follows responsible business and ethical hiring practices; candidates are not charged recruitment or employment-related fees.