Semiconductor Device Modeling Engineer

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

Annual salary: $173,660–$330,340 USD

Company

hirify.global's Compact Device Modeling Group supports advanced process technology and hirify.global Foundry customers through device modeling and design technology development.

What you will do

• Develop compact models for hirify.global's advanced semiconductor technologies, including FinFET and GAAFET.
• Perform transistor model extraction, IV/CV fitting, model retargeting, and corner and statistical variation modeling.
• Use commercial simulators and extraction tools to validate device and circuit behavior.
• Develop LLE models and methodologies for device targeting and benchmarking circuits such as ring oscillators.
• Automate modeling workflows and documentation with Python.
• Collaborate across multiple teams and geographies on process technology co-optimization.

Requirements

• Master's degree in Electrical Engineering or a related discipline with 5+ years of semiconductor industry experience, or a Ph.D. with 3+ years of semiconductor industry experience.
• 3+ years of hands-on experience with BSIM-CMG and other compact models for transistor modeling at advanced nodes.
• 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 and 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, 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 circuit-benchmarking methodologies, including corner 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

• Full-time experienced-hire position with an on-site work model.
• Competitive pay, stock bonuses, health benefits, retirement programs, and vacation.
• Shift 1 schedule in the United States.
• Employment practices provide equal consideration regardless of protected characteristics.