Process Integration and Yield Engineering PhD Intern, 2027 (Semiconductor Manufacturing)
Контакты
120 898 - 120 902$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
pythondata analysismachine learningdefect analysisstatistical process controlprocess integrationdesign of experimentssemiconductor manufacturingyield engineering
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$121к-121к/год
$60к$110кмедиана$120к
По похожим ролям (48) ~ $110к/год
84
Хорошая вакансия
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Чётко описанная стажировка для PhD в Company hidden даёт практический опыт в производстве полупроводников и оплату на уровне рыночного ориентира, но короткий срок и отсутствие визового спонсорства ограничивают доступность.
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Короткая стажировкаБез визовой поддержкиОплата по рынкуСильный работодательАктуальные инструменты
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Process Integration and Yield Engineering PhD Intern, 2027 (Semiconductor Manufacturing): Analyzing defect data, conducting experiments, and optimizing process integration flows to improve semiconductor manufacturing yield with an accent on metrology, process troubleshooting, and data-driven process performance. Focus on identifying defect trends, applying statistical and machine learning methods, and solving process challenges in a high-volume manufacturing environment.
Location: On-site in Hillsboro, Oregon, United States. The position is not available in Colorado. Relocation assistance may be available based on eligibility. May 2027 start for a 3–6 month duration.
Annual salary range: $120,898–$120,902 USD.
Company
hirify.global Foundry develops and optimizes semiconductor manufacturing processes supporting hirify.global products and advanced technology.
What you will do
Analyze defect data, identify trends, and recommend process adjustments.
Conduct experiments to evaluate and optimize process integration flows.
Collaborate with engineering teams to troubleshoot process issues and improve metrology strategies.
Support risk assessments and yield improvement initiatives.
Apply data analysis techniques to improve process performance and production efficiency.
Participate in continuous improvement projects in high-volume manufacturing environments.
Requirements
Must be pursuing a PhD in electrical engineering, physics, materials science, chemical engineering, or a related scientific field focused on semiconductors.
At least 6 months of experience with semiconductor materials, fabrication, device physics, or related work.
Understanding of semiconductor devices such as transistors and diodes.
Strong analytical, problem-solving, communication, and attention-to-detail skills.
Ability to work independently and collaboratively in a diverse engineering environment.
GPA of 3.0 or higher.
Nice to have
Experience with JMP, Python, Excel, MATLAB, Octave, JSL, Perl, TCL, SQL, C, or C++.
Knowledge of statistical process control, design of experiments, database structures, research methods, machine learning, and analytics tools.
Experience with advanced transistor structures, device physics, and presenting technical data to technical and non-technical audiences.
Culture & Benefits
On-site work in a high-volume semiconductor manufacturing environment.
Competitive compensation, stock bonuses, health benefits, retirement benefits, and vacation.
Collaboration with leading semiconductor engineering experts.
Hiring process
The specific work location and modality will be communicated at the time of offer.
Employment-based visa or immigration sponsorship is not available for this position.
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