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2026 Summer Intern – MS/PhD – Infrastructure
Исключительная возможность для студентов MS/PhD поработать в лидирующей компании в сфере автономного вождения (JV Hyundai и Aptiv). Проект предлагает работу с передовым стеком технологий и реальное влияние на безопасность транспорта будущего.
Сложность вакансии
Высокий уровень сложности обусловлен требованиями к кандидатам (магистратура или PhD) и необходимостью работы с высоконагруженными системами обработки данных для беспилотных автомобилей. Требуются глубокие знания в области распределенных систем и бэкенд-инфраструктуры.
Анализ зарплаты
Зарплата для интернов уровня MS/PhD в США в сфере автономного транспорта обычно выше среднего по рынку стажировок и сильно зависит от локации (Бостон/Питтсбург). Указанные рыночные значения отражают годовой эквивалент для высококвалифицированных технических стажеров.
Сопроводительное письмо
I am writing to express my strong interest in the Infrastructure Intern position at Motional for Summer 2026. As a student currently pursuing my advanced degree with a focus on distributed systems and data engineering, I have long admired Motional’s leadership in the autonomous vehicle industry, particularly your milestone of operating the world’s longest-standing public robotaxi fleet.
During my academic projects, I have developed a solid foundation in Python and C++, specifically in building scalable data pipelines and working with SQL/NoSQL databases. I am particularly excited about the opportunity to contribute to the Cloud Operations Platform and optimize tiered dataflows for multimodal datasets. My experience with containerized environments and my passion for infrastructure automation align perfectly with the goals of your Perception and Behaviors teams.
I am eager to bring my technical skills and proactive mindset to the Boston or Pittsburgh office. Thank you for considering my application to help Motional make driverless technology a safe and accessible reality.
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Откликнитесь в motional уже сейчас
Присоединяйтесь к команде Motional и создавайте будущее автономного транспорта уже этим летом!
Описание вакансии
Mission Summary:
Our Infrastructure Interns will help build and optimize the data pipelines, tooling, and platforms that enable Perception, Behaviors, and Actions teams to develop and deploy models at scale. This role focuses on high-reliability data systems, dataset processing workflows, storage and retrieval tooling, and infrastructure automation.
Responsibilities:
- Support development of scalable data ingestion, processing, and validation pipelines
- Build tools for dataset management, versioning, and quality measurement
- Work with large multimodal datasets (images, video, telemetry, logs)
- Implement automation to improve data labeling workflows, annotation QA, and metadata tracking
- Collaborate with Perception, Behaviors, and Actions teams to understand data requirements and optimize tiered dataflows
- Contribute to the observability of data pipelines, including metrics, dashboards, and alerting
- Support development of Cloud Operations Platform to manage autonomous vehicle fleet
- Support development of Development Portal to improve SDLC workflows and systems
- Document systems, processes, and best practices
Required Skills:
- Currently pursuing a degree in Computer Science, Computer Engineering, Machine Learning, Robotics, or a related field
- Strong programming skills in Python, C++, Golang or other modern programming languages
- Coursework or project experience in data engineering, distributed systems, automation, or backend infrastructure
- Coursework or project experience serverless architectures, building systems using SQL and NoSQL databases
- Familiarity with SQL and data structures
Preferred Skills:
- Experience with big-data technologies
- Knowledge of workflow orchestration tools
- Exposure to ML data pipelines, dataset lifecycle management, or ETL systems
- Experience with source management tools (ex. git, svn, ClearCase)
- Familiarity with tools for logging, monitoring, or observability
- Experience with cloud or containerized environments or willingness to learn
Note: This will be a hybrid onsite internship position in Boston or Pittsburgh. We will accept resumes on a rolling basis until the role is filled. Compensation will be based on location and degree level.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
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Навыки
- Python
- C++
- Go
- SQL
- NoSQL
- Distributed Systems
- Data Engineering
- Git
- Docker
- Kubernetes
- ETL
- Cloud Computing
Возможные вопросы на собеседовании
Проверка понимания архитектуры систем, с которыми предстоит работать.
Как бы вы спроектировали масштабируемый конвейер данных для обработки терабайтов видеоданных с сенсоров автомобиля?
Оценка навыков работы с базами данных, указанных в требованиях.
В каких случаях для хранения метаданных телеметрии вы бы предпочли NoSQL базу данных вместо традиционной SQL?
Проверка владения инструментами автоматизации и CI/CD.
Расскажите о вашем опыте работы с Docker или Kubernetes. Как контейнеризация помогает в развертывании инфраструктуры для ML?
Оценка навыков программирования и алгоритмического мышления.
Реализуйте на Python или C++ эффективный буфер для обработки потоковых данных, поступающих с разной скоростью.
Проверка понимания жизненного цикла данных в контексте беспилотников.
Как обеспечить версионность и качество данных при обновлении моделей машинного обучения в продакшене?
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