Physicist/Scientist, Doctorate Degree, New College Grad (Spring 2027)
Контакты
138 000 - 190 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Релокация
US
machine learningsemiconductorhigh performance computingscientific computingmolecular dynamicsplasma physicsquantum chemistrykinetic monte carlo
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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$138к-190к/год
$82к$130кмедиана$150к
По похожим ролям (49) ~ $130к/год
90
Крутая вакансия
развернуть
Чётко очерченная исследовательская роль в крупной полупроводниковой компании сочетает продвинутое моделирование и машинное обучение, обеспечивая глубокую техническую работу в востребованной отрасли.
?Узкая специализация
Современные методы
Полупроводниковая отрасль
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Physicist/Scientist, Doctorate Degree, New College Grad (Spring 2027) (AI/ML): Developing physics-based and machine-learning models for plasma etching, deposition, and plasma–surface interactions with an accent on quantum chemistry, molecular dynamics, kinetic Monte Carlo, and high-performance computing. Focus on integrating large-scale simulation data with experimental measurements, validating predictive models, and supporting semiconductor process and product development.
Location: Santa Clara, California, United States; relocation eligible; travel required for 10% of the time.
Salary: $138,000–$190,000 per year.
Company
hirify.global develops materials science and engineering solutions, equipment, and services for semiconductor chips and advanced displays.
What you will do
Develop and apply advanced models for plasma etching, deposition, and plasma-based surface modification.
Combine physics-based and machine-learning approaches to improve process understanding and predictive capability.
Collaborate with experimental teams to guide process development and interpret experimental results.
Develop, validate, and maintain internal software tools, modeling frameworks, and best practices.
Communicate modeling results to multidisciplinary teams of scientists, engineers, and major customers.
Requirements
PhD in Engineering, Science, or a related field is required, including Chemical, Materials, or Mechanical Engineering, Physics, or Chemistry.
Experience modeling plasma–surface or gas–surface interaction processes using ab initio quantum chemistry, molecular dynamics, and/or kinetic Monte Carlo methods.
Strong machine-learning background, particularly in scientific computing or high-performance computing environments.
Experience working with large, complex simulation datasets and integrating modeling results with experimental data.
Position is intended for a new college graduate completing studies in Spring 2027.
Culture & Benefits
Supportive work culture focused on learning, development, and career growth.
Comprehensive employee benefits and programs supporting health and wellbeing.
Potential eligibility for bonus and stock award programs, as applicable.
Full-time employment with 10% travel and relocation eligibility.
Hiring process
Applications are reviewed on a rolling basis; apply by November 20, 2026.
The position may close early based on application volume or candidate selection.
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