Semiconductor Device Modeling Engineer

2 Locations Other

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About This Role

Intel is shaping the future of technology to help create a better future for the entire world.
Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations.
With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life.
Join us and help make the future more wonderful for everyone.
Want to learn more? Visit our YouTube Channel or the link below.
Life at Intel About the team and organization: Compact Device Modeling Group (CDMG) is part of Intel's Design Technology Platform (DTP) organization.
DTP is a key pillar in enabling Intel to deliver design, development and manufacturing services that allow Intel Foundry customers to deliver winning products to the marketplace.
Your work will directly enable design teams to get to the market faster with leadership products based on innovative technologies.
As a member of CDMG you will be at the forefront of co-optimizing Intel's state-of-the-art process technology which allows customers with diverse design needs to enable best-in-class products for data-centric applications.
As a semiconductor device modeling engineer, you will be playing a key role to support compact modeling activities for Intel's new technologies.

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 5+ or Master's degree in Electrical Engineering or a related discipline and at least 3 years of industry experience in the semiconductor field; or Ph.D. in Electrical Engineering or a related discipline. • Graduate coursework or research experience in semiconductor device physics or 5+ years of work experience in Semiconductor device physics. • 1+ years' experience Python scripting for data analysis, automation and documentation.
Preferred Qualifications • Ph.D. in Electrical Engineering or a related discipline with 3+ years of industry experience in the semiconductor field. • Proficiency with extraction tools (e.g., ICCAP, MBP) and commercial simulators such as HSPICE, Spectre, etc. • Hands-on experience with BSIM-CMG and other compact models for transistor modeling at advanced nodes (e.g., FinFET, GAA) including experience in one or more of the following areas: Experience developing Layout-dependent effects (LDE) for FinFET or GAAFET technologies and their impact on circuit performance.
Development of methodologies for device targeting (e.g., transistors) and benchmarking circuits (e.g., ring oscillators), including corners and statistical variation models.
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.
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.

Benefits

We offer a total compensation package that ranks among the best in the industry.
It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
Find out more about the benefits of working at Intel .
Annual Salary Range for jobs which could be performed in the US: $128,880.00-245,160.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.