- Страна
- США
- Зарплата
- 149 000 $ – 198 500 $
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Senior Software Engineer, ML Infrastructure
Motional — лидер в области беспилотных технологий с сильной финансовой поддержкой (Hyundai/Aptiv). Вакансия предлагает работу над передовыми технологиями, конкурентную зарплату и отличный социальный пакет.
Сложность вакансии
Роль требует глубоких знаний в области распределенных систем, Kubernetes и работы с огромными объемами данных (петабайты), что предполагает высокий уровень технической экспертизы. Senior-позиция подразумевает полную ответственность за архитектурные решения и жизненный цикл ML-моделей.
Анализ зарплаты
Предлагаемый диапазон $149k–$198k полностью соответствует рыночным стандартам для Senior ML Infrastructure ролей в США, особенно в технологических хабах вроде Бостона. Верхняя граница диапазона является весьма привлекательной для инженеров с опытом работы в распределенных системах.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer, ML Infrastructure position at Motional. With over four years of experience in building scalable backend systems and a deep expertise in Kubernetes, I am excited about the opportunity to contribute to a platform that processes petabytes of data to advance autonomous vehicle technology.
In my previous roles, I have focused on designing robust distributed systems and managing complex ML lifecycles in cloud environments. I am particularly drawn to Motional's mission of making driverless technology a safe reality and would welcome the chance to apply my skills in Go, Python, and cloud infrastructure to help scale your ML platform.
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Присоединяйтесь к Motional, чтобы создавать инфраструктуру будущего для беспилотного транспорта!
Описание вакансии
Mission Sumary:
Our team builds the foundational infrastructure that empowers Machine Learning Engineers to develop the next generation of self-driving technology. We design and operate the high-performance, large-scale systems that process petabytes of vehicle data, run massive simulations, and train complex models. This is a software engineering role focused on building robust platforms, not an SRE position.
As a Senior Engineer, you will be a key contributor to the team, owning the design and implementation of critical services that directly impact the pace of AV innovation.
What you'll do:
- Design, build, and deploy core components of our ML infrastructure platform on Kubernetes.
- Develop robust and scalable services that support the entire ML lifecycle, from data ingestion and processing to model training and evaluation.
- Write high-quality, maintainable code for high-throughput systems that handle petabytes of data.
- Own features and systems end-to-end, driving them from initial design through to production deployment and operation.
What we're looking for:
- 4+ years of professional software engineering experience.
- BS or MS in Computer Science or a related technical field.
- Hands-on experience developing and deploying applications on Kubernetes (k8s) is a must.
- Experience building or working on high-scale infrastructure or distributed backend systems.
- Strong proficiency in Python, Go, or a similar language.
- Solid experience with a major cloud provider (AWS, GCP, Azure).
- A strong sense of ownership and a passion for building high-quality software.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range
$149,000—$198,500 USD
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
- Kubernetes
- Python
- Go
- AWS
- GCP
- Azure
- Distributed Systems
- Machine Learning Infrastructure
- Docker
Возможные вопросы на собеседовании
Проверка практического опыта работы с основной технологией стека.
Расскажите о наиболее сложной проблеме масштабирования в Kubernetes, с которой вы столкнулись, и как вы её решили?
Важно понимать, как кандидат проектирует системы для обработки огромных массивов данных.
Как бы вы спроектировали систему обработки данных для обучения ML-моделей, учитывая необходимость обработки петабайт информации?
Позиция требует навыков разработки, а не просто администрирования.
В чем, по вашему мнению, ключевое различие между SRE-подходом и подходом инженера инфраструктуры при создании ML-платформ?
Проверка владения основными языками разработки компании.
Какие преимущества и недостатки вы видите в использовании Go по сравнению с Python для построения высоконагруженных инфраструктурных сервисов?
Оценка понимания специфики машинного обучения в контексте инфраструктуры.
Как обеспечить эффективную оркестрацию ресурсов GPU в кластере Kubernetes для одновременного обучения множества моделей?
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- Страна
- США
- Зарплата
- 149 000 $ – 198 500 $