- Страна
- США
- Зарплата
- 25 $ – 39 $
Откликайтесь
на вакансии с ИИ

Battery Simulation & Computational Scientist Internship
Отличная вакансия для исследователей на стыке CS и физики в перспективной индустрии CleanTech. Высокая для стажера оплата, возможность удаленной работы и работа с передовым стеком (PyBaMM, Snowflake).
Сложность вакансии
Высокая сложность обусловлена необходимостью глубоких знаний как в программировании (Python, SQL, Docker), так и в узкоспециализированной электрохимии (PyBaMM, P2D модели). Требуется готовность к длительной стажировке (от 6 месяцев) и наличие вклада в open-source проекты.
Анализ зарплаты
Предлагаемая ставка $25-$39 в час ($4,300 - $6,700 в месяц) является очень конкурентоспособной для стажировки в области Computational Science в США, особенно с учетом возможности удаленной работы. Она соответствует или даже слегка превышает средние рыночные показатели для высокотехнологичных R&D стажировок в Кремниевой долине.
Сопроводительное письмо
I am writing to express my strong interest in the Battery Simulation & Computational Scientist Internship at Sila Nanotechnologies. With a solid background in Python and extensive experience using PyBaMM for electrochemical modeling, I am eager to contribute to your mission of powering the world’s transition to clean energy. My expertise in bridging the gap between theoretical physics-based models and production-grade software aligns perfectly with Sila's goals of accelerating R&D cycles.
During my academic and research projects, I have developed a deep understanding of P2D models and have actively contributed to open-source scientific computing. I am particularly drawn to Sila’s innovative approach to increasing energy density and look forward to applying my skills in SQL, Docker, and CI/CD pipelines to support your backend infrastructure. I am available for a 6+ month commitment and am excited about the possibility of working with your cross-functional team to redefine what's possible in battery technology.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в silananotechnologies уже сейчас
Присоединяйтесь к Sila, чтобы создавать будущее чистой энергии через инновационное моделирование аккумуляторов!
Описание вакансии
About Us
We are Sila, a next-generation battery materials company. Our mission is to power the world’s transition to clean energy. To create this future, our team is building a better lithium-ion battery from the inside out today. We engineer and manufacture ground-breaking battery materials that significantly increase the energy density of batteries, while reducing their size and weight. The result? Smaller more powerful batteries that can unlock innovation in consumer devices and accelerate the mass adoption of electric cars to eliminate our dependence on fossil fuels. We're tackling one of the biggest challenges of our time every day, and together we're redefining what's possible. Are you ready to be a part of a team committed to changing the world?
Who You Are
Are you a thoughtful, creative, and code-savvy simulation scientist or engineer? We are looking for someone who sits at the intersection of computer science and electrochemistry. You might be a software engineer with a passion for physics, or a theorist with a talent for building robust software infrastructure.
Sila Nanotechnologies is seeking a Battery Simulation & Computational Scientist (Intern) to:
- Architect and implement physics-based battery models using PyBaMM.
- Bridge the gap between theoretical equations and production-grade software code.
- Leverage key insights from our battery models to accelerate learning cycles and reduce the cost of empirical R&D.
Responsibilities and Duties
- Commit to a 6+ month internship (Remote or Onsite); this is not a position for students only available for summer months.
- Analyze electrochemical data to build, parameterize, and apply new numerical models.
- Fit electrochemical models to experimental data and evaluate model performance across a range of different electrochemical test techniques.
- Support infrastructure development, helping to build the backend pipelines and tools that bring physics-based models to a wider audience.
- Work closely with scientists and cross-functional teams to discover and communicate knowledge for the long-term development of our next-generation battery materials.
- Invest in our values and champion them as we grow.
Knowledge and Skill Requirements
- BSc (or preferably MSc/currently enrolled in a Ph.D. program) or equivalent research experience in Computer Science, Applied Mathematics, Chemical Engineering, Materials Science, or a related field.
- Strong experience using PyBaMM (Python Battery Mathematical Modeling) is required.
- Mastery of Python, including standard scientific libraries (NumPy, SciPy, Pandas).
- Experience interacting with databases using SQL or Snowflake.
- Proficient with Git and collaboration platforms (GitHub or GitLab).
- Ability to navigate and execute workflows in Linux or macOS terminal environments.
- Knowledge of electrochemical theory and the application of the P2D (Pseudo-Two-Dimensional) or Doyle-Fuller-Newman models.
- Public contributions to the PyBaMM repository or related sister projects on GitHub.
- Proficiency in using AI coding tools (e.g., Claude Code, Copilot) and knowledge of effective prompting techniques to accelerate development.
- Experience building CI/CD pipelines, containerization (Docker), or some exposure to full-stack development.
Physical Demands and Working Conditions
- Move long distances (such as from building to building) and be stationary for extended periods of time
- Operate a computer and other office equipment, such as a laptop, copier/printer, etc in a fixed location
- This role is open to Remote candidates.
The starting base pay for this role is between $25/hr and $39/hr at the time of posting. The actual base pay depends on many factors, such as education, experience, and skills. Base pay is only one part of Sila’s competitive Total Rewards package that can include benefits, perks, and equity. The base pay range is subject to change and may be modified in the future. This role may also be eligible for overtime.
Working at Sila
We believe that building a diverse team at Sila helps us amplify our individual talents. We are an equal opportunity employer and committed to creating an inclusive environment where good ideas are free to come from anyone. We are proud to celebrate diversity and all qualified applicants are considered for employment without regard to gender, race, sexual orientation, religion, age, disability, national origin, or any other status protected by law.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- PyBaMM
- NumPy
- SciPy
- Pandas
- SQL
- Snowflake
- Git
- Docker
- CI/CD
- Linux
- Electrochemistry
- Mathematical Modeling
Возможные вопросы на собеседовании
Проверка ключевого технического требования вакансии.
Опишите ваш опыт работы с PyBaMM: какие конкретно модели вы реализовывали и с какими трудностями при параметризации сталкивались?
Оценка понимания физических процессов, которые необходимо моделировать.
В чем заключаются основные допущения модели Дойла-Фуллера-Ньюмана (DFN) по сравнению с упрощенными моделями?
Проверка навыков разработки ПО в контексте научных вычислений.
Как вы обеспечиваете воспроизводимость и тестируемость кода при разработке физических моделей? Используете ли вы CI/CD для этих целей?
Оценка умения работать с данными, что критично для калибровки моделей.
Расскажите о вашем опыте фиттинга моделей под экспериментальные данные. Какие методы оптимизации вы использовали для минимизации ошибки?
Проверка навыков использования современных инструментов разработки.
Как вы используете AI-инструменты (например, Claude или Copilot) в своем рабочем процессе для ускорения написания кода без потери качества?
Похожие вакансии
Energy Optimization Engineering Intern
Intern, System Commissioning
Intern, R&D (Thin Film Materials)
IT Intern (Summer 2026)
Systems Modeling Intern
Patients Supply Operations, Technical Development Intern
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 25 $ – 39 $