Device Modeling Engineer
Global Foundries

About GlobalFoundries:

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Summary of Role:
This position is for a SPICE modeling expertise/project lead who will primarily work on the compact device model development with focus on ML and methodology enhancement.

Essential Responsibilities:

• Development of SPICE models for active and passive covering base band, high voltage, RF for GF technologies
  
• Utilize machine learning to enhance the efficiency and productivity of compact model development
  
• Lead model development project with emphasis on methodology enhancement and lesson learned.
  
• Drive best practices in model extraction, QA/ validation & QA flow across model organizations
  
• Coordinate cross-functional teams (SPICE lab/ PDK/ Device/ Process/ DM/ Layout) to executive PDK/model related projects & resolve PDK/model related issues
  
• Working closely with lab engineers on the device characterization, Data analysis and Model Hardware Correlation
  
• Work with measurement and layout teams on modeling testchip generation to enable testing of wafers across different work sites/ regions
  
• Provide technical support on customers' queries on SPICE model & help to resolve model related issues in a timely manner
  

Other Responsibilities:

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
  
  

Required Qualifications:

• Education -. PhD/ master's in electrical engineering or physics
  
• Experience - At least 3 years of industry experience and expertise in CMOS device modeling
  
• Must have in-depth Semiconductor device physics knowledge
  
• Expertise with SPICE level simulators such as HSPICE, SPECTRE
  
• Fluency in English Language - written & verbal
  
• Excellent ability to meet tight deadlines, commitments and deliver customer requirements
  
  

Preferred Qualifications:

• Experience in a foundry environment supporting SPICE modeling across multiple technology nodes and products
  
• Experience in Machine learning with Python script.
  
• Project management skills - i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.
  
• Strong written and verbal communication skills.
  
• Strong planning & organizational skills.
  

Expected Salary Range
$91,600.00 - $170,000.00

The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

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