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Intern, R&D (Thin Film Materials)
Исключительная возможность для студентов и аспирантов поработать в одной из самых перспективных квантовых компаний мира. Четкая структура оплаты в зависимости от уровня образования и работа над передовыми технологиями делают эту позицию очень привлекательной.
Сложность вакансии
Стажировка требует высокого уровня академической подготовки (магистратура или PhD) и практических навыков работы с высокотехнологичным оборудованием (PVD, CVD, XRD). Кандидат должен обладать глубокими знаниями в физике твердого тела и материаловедении для работы с криогенными системами.
Анализ зарплаты
Предлагаемая почасовая ставка ($27.50 - $47.00) полностью соответствует и даже несколько превышает рыночные стандарты для R&D стажировок в области высоких технологий и полупроводников в Кремниевой долине. Оплата четко структурирована в зависимости от академической степени кандидата.
Сопроводительное письмо
I am writing to express my strong interest in the R&D Intern (Thin Film Materials) position at PsiQuantum. As a graduate student focused on materials science, I have followed PsiQuantum’s progress in silicon photonics with great admiration. Your mission to build a fault-tolerant quantum computer using high-volume semiconductor manufacturing processes is, in my view, the most viable path to scaling this transformative technology.
During my academic research, I have gained extensive experience with PVD deposition techniques and various characterization methods, including XRD and AFM. I am particularly interested in the challenge of correlating thin film material properties with the performance of superconducting nanowire single-photon detectors (SNSPDs). My proficiency in Python for data analysis, combined with my hands-on cleanroom experience, aligns well with the responsibilities of developing predictive proxies for device behavior. I am eager to contribute to the Superconducting Devices Group and help advance the materials foundation of your quantum architecture.
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Описание вакансии
PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems.
Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries.
Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure.
In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale.
PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact.
Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real.
Come join us.
Job Summary:
This position reports to the Superconducting Devices Group. Our group designs, fabricates, and tests components that will be integrated into a complete system. We are seeking an R&D Intern, Thin Film Materials to focus on superconducting thin films that enable high-performance superconducting nanowire single-photon detectors (SNSPDs). In this role, you will develop and characterize thin film materials, with a key objective of identifying measurable material properties and characterization techniques that reliably predict device performance.
Responsibilities:
- Develop superconducting thin films using deposition and characterization tools at both internal and external facilities.
- Perform bulk and surface characterization (XRD, AFM, SEM, TEM, SIMS, etc.)
- Conduct room temperature and cryogenic electrical characterization of blanket films.
- Correlate material properties with device performance to identify predictive proxies for SNSPD behavior.
- Analyze thin film and device experimental data and maintain clear documentation of processes and results.
- Conduct data analysis, prepare presentations, and document your work.
- Coordinate deposition schedules and material testing with external vendors and partners.
- Actively track wafers in progress and report on their status.
Experience/Qualifications:
- Currently pursuing a M.Sc., or Ph.D in Materials Science and Engineering, Electrical Engineering, Physics, or related field.
- Experience with deposition techniques such as PVD, CVD, or MBE.
- Strong understanding of thin film metrology and materials characterization.
- Proficient with data analysis tools (Excel, Python, JMP, etc.).
- Strong communication skills.
U.S. Intern Hourly Pay Rate Chart
| Education level COMPLETED | Hourly Rate | Housing/CommuterStipend |
| Bachelors: In Process | $27.50 | Variable based on permanent residency location |
| Bachelor’s Degree | $31.00 | Variable based on permanent residency location |
| Master’s: 1st Year | $36.00 | Variable based on permanent residency location |
| Master’s Degree | $40.00 | Variable based on permanent residency location |
| PhD: In Process | $44.00 | Variable based on permanent residency location |
| PhD: Near Completion | $47.00 | Variable based on permanent residency location |
PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.
Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.
We are not accepting unsolicited resumes from employment agencies.
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Навыки
- PVD
- CVD
- MBE
- XRD
- AFM
- SEM
- TEM
- SIMS
- Python
- Excel
- JMP
- Materials Science
- Superconductivity
- Thin Films
Возможные вопросы на собеседовании
Проверка практического опыта работы с оборудованием, необходимым для создания тонких пленок.
Опишите ваш опыт работы с методами осаждения (PVD, CVD или MBE). С какими материалами вы работали и каких параметров пленок добивались?
Важная часть вакансии — поиск корреляций между свойствами материала и работой устройства.
Как бы вы подошли к задаче выявления материальных свойств, которые могут служить предикторами эффективности SNSPD?
Проверка навыков интерпретации данных сложных физических измерений.
Расскажите о случае, когда данные характеризации (например, XRD или SEM) противоречили вашим ожиданиям. Как вы проводили анализ причин?
Работа в PsiQuantum связана с квантовыми вычислениями и сверхпроводимостью.
Каков ваш опыт проведения электрических измерений при криогенных температурах и какие основные сложности вы видите в этом процессе?
Оценка навыков автоматизации и обработки экспериментальных данных.
Как вы используете Python или другие инструменты для обработки больших массивов данных, полученных в ходе материаловедческих экспериментов?
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- 27 $ – 47 $