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Quantum Device Modeling Engineer

Job in Town of Malta, Saratoga County, New York, USA
Listing for: GlobalFoundries inc.
Full Time position
Listed on 2026-10-31
Job specializations:
  • Engineering
    Electronics Engineer, Systems Engineer, Electrical Engineering, Research Scientist
Salary/Wage Range or Industry Benchmark: 98000 - 176000 USD Yearly USD 98000.00 176000.00 YEAR
Job Description & How to Apply Below
Location: Town of Malta

About Global Foundries

Global Foundries 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, Global Foundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit

Summary of Role

Global Foundries is seeking a Device Modeling Engineer to develop, validate, and deploy predictive models for superconducting, photonic, optoelectronic, and other emerging quantum-enabling devices. This role will translate fundamental device physics and measured electrical, optical, RF, and cryogenic behavior into simulation-ready models and libraries for Quantum Process Design Kits (QPDKs), heterogeneous integration, and customer design flows.

Essential Responsibilities
  • Develop physics-based, behavioral, and compact models for superconducting, photonic, optoelectronic, cryogenic passive, and other emerging non-CMOS devices.
  • Plan and execute model-extraction and validation workflows using electrical, optical, RF/microwave, and cryogenic characterization data.
  • Correlate model behavior with measured device data, multiphysics simulation, and fundamental device physics; identify model limitations and drive corrective actions.
  • Define device structures, process parameters, and characterization vehicles required to extract and validate scalable models across geometry, temperature, frequency, optical wavelength, and operating conditions.
  • Implement and qualify models within circuit, electromagnetic, and photonic simulation environments, including regression testing, convergence checks, documentation, and release readiness.
  • Develop model libraries and design collateral for QPDKs and heterogeneous integration platforms, including validated symbols, parameter sets, interfaces, and recommended design-use conditions.
  • Collaborate with device, process, integration, characterization, packaging, PDK, EDA, and circuit-design teams to translate emerging technologies into usable design capabilities.
  • Communicate model assumptions, validation results, known limitations, and usage guidance through technical reports, application notes, and design reviews.
Other Responsibilities
  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
  • Work and collaborate on other projects and/or assignments as needed.
Required Qualifications
  • Education
    - Bachelor's degree in Electrical Engineering, Applied Physics, Physics, Photonics, Microelectronics, Quantum Engineering, or a related field.
  • Experience
    - Minimum 5 years of experience in device physics, device modeling, multiphysics simulation, parameter extraction, or characterization of superconducting, photonic, optoelectronic, RF/microwave, or other non-CMOS devices. Final experience requirements should be aligned with GF scoping guidelines for the approved job level.
  • Strong foundation in semiconductor and solid-state device physics, with demonstrated ability to translate physical behavior into predictive simulation models.
  • Hands‑on experience modeling at least one non-CMOS device class, such as Josephson‑junction devices, SQUIDs, superconducting resonators or interconnects, wave guides, modulators, ring resonators, photodetectors, lasers, or cryogenic passive structures.
  • Experience correlating models with measured electrical, optical, RF/microwave, or cryogenic data and defining validation criteria across relevant operating ranges.
  • Proficiency in scientific programming and data analysis using Python, MATLAB, or equivalent tools in a…
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