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motional
Страна
США
Зарплата
168 000 $ – 225 000 $
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SeniorУдалённоПолная занятость

Senior Motion Planning Engineer

Оценка ИИ

Отличная вакансия в лидирующей компании индустрии беспилотников с конкурентной зарплатой, полным пакетом льгот и возможностью работать удаленно. Высокий уровень ответственности и работа над передовыми технологиями делают роль очень привлекательной для экспертов.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованиями к глубоким знаниям в области робототехники (PhD или Master's), опытом работы в AV-индустрии более 5 лет и владением сложным математическим аппаратом (вероятностные модели, байесовский вывод).

Анализ зарплаты

Медиана195 000 $
Рынок160 000 $ – 240 000 $
Оценка ИИ

Предлагаемая зарплата ($168k - $225k) полностью соответствует рыночным стандартам для Senior-позиций в сфере автономного вождения в США, где медиана составляет около $195k. Верхняя граница диапазона выше среднего рынка, что отражает высокие требования к квалификации (PhD).

Сопроводительное письмо

I am writing to express my strong interest in the Senior Motion Planning Engineer position at Motional. With extensive experience in robotics and a deep background in C++ software development, I have consistently delivered high-performance algorithms for complex autonomous systems. My expertise in probabilistic modeling and decision-making under uncertainty aligns perfectly with Motional's mission to build safe and intuitive autonomous vehicles.

Throughout my career, I have led technical developments from initial research to production-ready deployment. I am particularly drawn to Motional's track record of industry firsts, such as the world's first robotaxi pilot. I am eager to bring my skills in motion planning and my passion for technical excellence to your Autonomy team to help scale these transformative technologies.

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Откликнитесь в motional уже сейчас

Присоединяйтесь к команде Motional и создавайте будущее автономного транспорта уже сегодня!

Описание вакансии

Senior Motion Planning Engineer (Evergreen)

On our Motion Planning team, you'll apply your passion in robotics and software development for production-ready autonomous vehicles. In this role you'll perform cutting-edge research, develop advanced algorithms, and build robust software to generate safe, comfortable, and intuitive routes and motions.

Role responsibilities:

  • Lead the research and development of novel algorithms for motion planning in autonomous driving, including but not limited to advanced search-based methods, sophisticated geometry-based methods, and decision making under uncertainty with a strong emphasis on probabilistic approaches.
  • Architect and integrate complex combinations of motion planning and prediction algorithms, driving their evaluation and refinement for real-world deployment.
  • Design and build a robust, scalable, and high-performance codebase that facilitates rapid exploration, prototyping, and rigorous evaluation of innovative motion planning approaches and algorithms.
  • Drive technical collaboration and interface seamlessly with perception and prediction components upstream and trajectory optimization, tracking and control components downstream, ensuring end-to-end system performance.
  • Leverage your deep software development and research expertise to teach others better software practices and principles, fostering a culture of technical excellence.
  • Guide and mentor junior team members, cultivating a culture of product-focused engineering, rigorous research, and advanced development.

What we're looking for:

  • PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field; or a Master's degree with 2+ years of experience in the robotics (preferably AV industry)
  • 5+ years of research experience in robotics / motion planning, with a proven track record of contributing to state-of-the-art solutions
  • 3+ years of C++ software development, with an emphasis on developing high-performance and reliable systems
  • Past experience owning and leading technical development on complex features from problem formulation through research, implementation, and deployment in a production environment.
  • Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology.

Skills appreciated

  • Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden Markov Models, and Particle Filters.
  • Experience with Bayesian modeling and inference techniques for decision making under uncertainty.
  • Experience with the Bazel build framework

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

$168,000—$225,000 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, LinkedInInstagram 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

  • C++
  • Robotics
  • Motion Planning
  • Bazel
  • Probabilistic Models
  • Bayesian Inference
  • Autonomous Vehicles
  • Algorithms
  • Trajectory Optimization

Возможные вопросы на собеседовании

Проверка понимания фундаментальных алгоритмов планирования пути.

Можете ли вы сравнить эффективность различных поисковых методов (например, Hybrid A*) и геометрических методов в контексте динамических городских условий?

Оценка опыта работы с неопределенностью, что критично для безопасности беспилотников.

Как вы подходите к принятию решений в условиях неопределенности, используя вероятностные подходы, такие как частичные фильтры или скрытые марковские модели?

Проверка навыков проектирования сложных систем.

Опишите ваш опыт архитектурной интеграции компонентов восприятия (perception) и предсказания (prediction) с модулями планирования траектории.

Оценка навыков написания высокопроизводительного кода.

С какими основными проблемами производительности в C++ вы сталкивались при реализации алгоритмов планирования в реальном времени и как вы их решали?

Проверка лидерских качеств и умения работать в команде.

Расскажите о случае, когда вам приходилось внедрять лучшие практики разработки ПО в команде исследователей. Как вы справлялись с сопротивлением изменениям?

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motional
Страна
США
Зарплата
168 000 $ – 225 000 $