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Senior Software Engineer/Software Engineer - Perception Platform
Motional — лидер в сфере автономного вождения с сильной инженерной культурой. Работа в Сингапуре над передовыми ML-технологиями предлагает отличные перспективы роста, хотя отсутствие указанной зарплаты требует уточнения на этапе интервью.
Сложность вакансии
Роль требует уверенного владения Python и понимания принципов построения высоконагруженных конвейеров данных. Дополнительную сложность добавляет специфика области беспилотного транспорта и необходимость работы с инструментами распределенных вычислений.
Анализ зарплаты
Зарплата для Senior/Software Engineer в Сингапуре в сфере AI/Robotics обычно выше среднего по рынку. Указанный диапазон соответствует текущим рыночным ставкам для международных технологических компаний в этом регионе.
Сопроводительное письмо
I am writing to express my strong interest in the Software Engineer position within the Perception Platform team at Motional. With a solid background in Python development and experience in building scalable data pipelines, I am eager to contribute to the advancement of your machine learning perception workflows. My experience with concurrent processing and backend systems aligns well with your requirements for optimizing the active learning loop and evaluation tools.
In my previous roles, I have focused on developing robust software solutions that prioritize efficiency and performance. I am particularly drawn to Motional's mission of making self-driving vehicles a safe reality and would welcome the opportunity to apply my skills in NumPy, Pandas, and cloud-based data processing to support your world-class ML engineers. I am confident that my technical foundation and passion for autonomous technology would make me a valuable asset to your team in Singapore.
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Откликнитесь в motional уже сейчас
Присоединяйтесь к Motional и создавайте будущее автономного транспорта в Сингапуре!
Описание вакансии
On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers to join our team and contribute in advancing our machine learning (ML) perception pipelines. This includes large-scale data pipelines, evaluation & visualization tools and our active learning loop.
Our large scale data pipelines are critical for efficient end-to-end ML development (e.g. data transformation, model training, and model evaluation) of our on-car and off-car perception solutions. Our evaluation and visualization tools provide intuitive insights into dataset distributions, model behavior, system performance, and edge-case scenarios. Our active learning loop continuously selects and incorporates high-value data to improve model accuracy and robustness over time.
What You'll Be Doing:
- Support the creation, maintenance, and optimization of our internal data, training & evaluation pipelines, primarily using Python.
- Work closely with ML engineers to enhance tools and processes throughout the ML development lifecycle
- Develop and implement evaluation tools such as automatic reporting, regression discovery
- Work closely with cross-functional teams to orchestrate & facilitate the active learning workflow.
- Participate in design reviews and code reviews of the said team-owned pipelines
- Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance
What We're Looking For:
- 2 years of professional software engineering experience
- BS or MS in Computer Science or a related technical field.
- Fluency in Python and familiarity with data processing libraries (e.g., NumPy, Pandas)
- Basic Experience with backend development
- Basic Experience in concurrency, parallel processing, and database systems.
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing method
Bonus Points:
- Expertise in concurrency, parallel processing, and database systems
- Basic understanding of ML or perception metrics to support evaluation workflows
- Strong knowledge of AWS analytics services, particularly AWS Athena and AWS Glue, including data cataloging, ETL development, and query optimization.
- Experience with container orchestration tools, like K8s.
- Experience with distributed computing frameworks, like Spark and Ray.
- Proven track record of developing and deploying perception systems for autonomous vehicles or robotic
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
- NumPy
- Pandas
- AWS Athena
- AWS Glue
- ETL
- Kubernetes
- Apache Spark
- Ray
- Backend Development
- Concurrency
- Parallel Processing
- SQL
Возможные вопросы на собеседовании
Проверка навыков работы с большими объемами данных, что критично для Perception Platform.
Как бы вы оптимизировали Python-скрипт для обработки терабайтов данных, используя NumPy и Pandas, чтобы избежать переполнения памяти?
Вакансия предполагает работу с параллельными вычислениями.
В чем разница между многопоточностью (threading) и многопроцессорностью (multiprocessing) в Python, и что бы вы выбрали для задачи ETL?
Motional использует активное обучение для улучшения моделей.
Как вы понимаете концепцию 'Active Learning Loop' и какова роль инженера платформы в обеспечении этого процесса?
Проверка опыта работы с облачной инфраструктурой, упомянутой в бонусах.
Опишите ваш опыт работы с AWS Athena или Glue. Как вы подходите к оптимизации SQL-запросов в распределенной среде?
Оценка инженерной культуры и навыков командной работы.
Расскажите о самом сложном баге, который вы нашли в распределенной системе. Как вы его диагностировали и исправили?
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