Semiconductor Device Modeling Engineer

Requirements

• are required to be initially considered for this position.
• Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
• Minimum Qualifications • Bachelor's degree in Electrical Engineering or a related discipline and 9+ years of experience OR, Master's degree in Electrical Engineering or a related discipline and at least 5 years of industry experience in the semiconductor field; or Ph.D. in Electrical Engineering or a related discipline with a minimum of 3 years of industry experience in the semiconductor field. • At least 3+ years of hands-on experience with BSIM or other compact models for transistor modeling at advanced nodes (e.g., FinFET, GAA). • At least 3+ years' experience with extraction tools (e.g., ICCAP, MBP) and commercial simulators such as HSPICE, Spectre, etc. • At least 3+ years' experience in IV/CV fitting, model retargeting, and corner/statistical variation modeling. • At least 3+ years' experience developing LLE models for FinFET or GAAFET technologies. • At least 3+ years' experience with Python scripting for automation and documentation.
• Preferred Qualifications • Ph.D. in Electrical Engineering or a related discipline with 8+ years of industry experience in the semiconductor field. • Deep expertise in compact modeling, including one or more of the following areas: Layout-dependent effects (LDE) and their impact on circuit performance.
• Modeling using Open Model Interface (OMI).
• Strong understanding of process flow, layout, and basic circuit design/simulation.
• Modeling self-heating effects and their influence on device and circuit performance.
• Development of methodologies for device targeting (e.g., transistors) and benchmarking circuits (e.g., ring oscillators), including corners and statistical variation models.
• Demonstrated experience in technical leadership and Proven capability to collaborate across multiple teams and geographies.
• Experience with machine learning algorithms and their application is data analysis and compact model development.
• Benefits at Intel Our total rewards package goes above and beyond just a paycheck.
• Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.
• Go to Intel Benefits | Intel Careers for details of benefits available to you.
• Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion.