yandex
motional
Страна
США
Зарплата
212 000 $ – 283 900 $
+500% приглашений

Откликайтесь
на вакансии с ИИ

Ускорим процесс поиска работы
LeadУдалённоПолная занятость

Principal Machine Learning Integration Engineer

Оценка ИИ

Это высокооплачиваемая позиция уровня Principal в ведущей компании по разработке беспилотников с отличным соцпакетом. Работа предполагает участие в создании технологий мирового уровня на стыке науки и инженерии.


Вакансия из Quick Offer Global, списка международных компаний
Пожаловаться

Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует исключительного сочетания навыков в области ML, робототехники и системного программирования на C++. Высокая сложность обусловлена необходимостью оптимизации моделей под жесткие ограничения реального времени и требования безопасности беспилотного транспорта.

Анализ зарплаты

Медиана235 000 $
Рынок195 000 $ – 275 000 $
Оценка ИИ

Предложенная зарплата ($212k - $284k) находится на верхнем пределе рыночных значений для Principal-инженеров в США, особенно в сфере автономного вождения. Это отражает высокую ответственность и дефицитность необходимых компетенций.

Сопроводительное письмо

I am writing to express my strong interest in the Principal Machine Learning Integration Engineer position at Motional. With over five years of experience in deploying machine learning systems within robotics and autonomous platforms, I have developed a deep expertise in bridging the gap between complex ML models and real-time, resource-constrained vehicle environments. My background in optimizing PyTorch and TensorFlow models using TensorRT and CUDA aligns perfectly with your mission to bring ML-based motion planning to production-ready autonomous vehicles.

Throughout my career, I have focused on the intersection of software engineering and robotics, maintaining high-quality C++ and Python codebases while implementing scalable deployment pipelines. I am particularly drawn to Motional's collaborative culture and your pioneering work in the robotaxi industry. I am confident that my experience with reinforcement learning and numerical optimization will allow me to contribute significantly to your motion planning and control stack, ensuring both safety and performance on the road.

+250% к просмотрам

Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в motional уже сейчас

Присоединяйтесь к команде Motional и создавайте будущее беспилотного транспорта, внедряя передовые ML-решения в реальные автомобили!

Описание вакансии

We are seeking a passionate and experienced engineer to help bring machine learning–based motion planning to the car. In this role, you will focus on deploying, optimizing, and maintaining ML-driven planning and control algorithms for real-time autonomous driving. You will collaborate across motion planning, controls, and software engineering teams to ensure models run reliably in production, under strict performance and safety constraints.

If you are excited by the challenge of bridging advanced ML with safety-critical, resource-constrained vehicle platforms—and want to shape the future of autonomy—we encourage you to apply.

What You’ll Be Doing

  • Deploy ML-based motion planning and control models onto vehicle platforms, ensuring performance under resource constraints.
  • Optimize models for inference speed, latency, and memory footprint without sacrificing accuracy or safety.
  • Collaborate with motion planning, controls, and perception teams to integrate ML components into the end-to-end autonomous driving stack.
  • Build scalable deployment infrastructure including evaluation pipelines, model packaging, benchmarking, and automated validation.
  • Validate model performance in both simulation and on-road testing, analyzing results and driving iterative improvements.
  • Maintain production-quality code in C++ and Python

What We’re Looking For

  • BS/MS/PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • 5+ years of professional experience deploying ML systems in real-world robotics, embedded, or autonomous platforms.
  • Experience with reinforcement learning.
  • Strong software engineering skills in C++ and Python, with knowledge of modern development practices (code reviews, testing, CI/CD).
  • Hands-on experience with ML frameworks (PyTorch, TensorFlow) and model optimization for deployment.
  • Familiarity with GPU acceleration, or inference optimization (e.g., TensorRT, CUDA).
  • Strong problem-solving skills and ability to debug complex systems under production constraints.

Bonus Points

  • Experience with autonomous vehicle motion planning, control algorithms (MPC, LQR, PID), or reinforcement learning–based methods.
  • Publications in relevant ML or robotics conferences (ICRA, NeurIPS, CoRL, RSS, etc.).
  • Experience with ROS, AUTOSAR, or other real-time robotics frameworks.
  • Knowledge of numerical optimization and its applications in trajectory generation.

Why You’ll Love Working Here

  • Shape the real-world deployment of cutting-edge ML technology on autonomous vehicles.

Work with world-class ML researchers, software engineers, and controls experts in a highly collaborative environment.

  • Contribute to a mission-driven company building safe, accessible, and transformative mobility solutions.

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

$212,000—$283,900 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.

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • C++
  • Python
  • Machine Learning
  • Reinforcement Learning
  • PyTorch
  • TensorFlow
  • TensorRT
  • CUDA
  • ROS
  • CI/CD
  • Robotics
  • Motion Planning
  • Numerical Optimization

Возможные вопросы на собеседовании

Проверка опыта оптимизации моделей для встраиваемых систем с ограниченными ресурсами.

Расскажите о вашем опыте оптимизации ML-моделей для инференса в реальном времени. Какие техники (квантование, прунинг, TensorRT) вы использовали и как это повлияло на задержку (latency)?

Оценка понимания специфики управления автомобилем и интеграции ML в классические алгоритмы.

Как вы подходите к интеграции ML-моделей планирования траектории с традиционными контроллерами, такими как MPC или LQR?

Проверка навыков работы с Reinforcement Learning в контексте робототехники.

С какими основными трудностями вы сталкивались при развертывании алгоритмов обучения с подкреплением (RL) на реальном оборудовании по сравнению с симуляцией?

Оценка навыков написания высокопроизводительного кода.

Опишите ваш опыт работы с многопоточностью и управлением памятью в C++ при обработке данных от сенсоров в высоконагруженных системах.

Проверка понимания стандартов безопасности и надежности ПО.

Как вы обеспечиваете надежность и предсказуемость ML-компонентов в системах, критичных для безопасности (safety-critical systems)?

Похожие вакансии

roku
Не указана

Lead ML Inference Engineer, Advertising

LeadГибридСША
Machine Learning · Distributed Systems High Performance Computing · GPU · C++ · Python · Inference Frameworks · Model Optimization · Hardware-Software Co-design · Reinforcement Learning · Monitoring · Observability
+11 навыков
motional
212 000 $ – 283 000 $

Principal Engineer Team Lead, Prediction & ML Planner

LeadУдалённоСША
Python · PyTorch · TensorFlow · Machine Learning · Deep Learning · Reinforcement Learning · Generative AI · C++ · CUDA · Motion Planning · Autonomous Vehicles · Robotics · Software Design
+13 навыков
motional
240 000 $ – 330 000 $

Principal Engineer Motion Planning

LeadУдалённоСША
C++ · Robotics · Motion Planning · Algorithms · Bazel · Machine Learning · Bayesian Inference · Probabilistic Models · Trajectory Optimization · Software Architecture
+10 навыков
motional
240 000 $ – 330 000 $

Principal Engineer, Team Lead- Motion Planning

LeadУдалённоСША
C++ · Python · Linux · SQL · Robotics · Motion Planning · Machine Learning · Search Algorithms · Simulation Tools · Verification & Validation
+10 навыков
motional
240 000 $ – 330 000 $

Principal Engineer Motion Planning

LeadУдалённоСША
C++ · Robotics · Motion Planning · Algorithms · Optimization · Autonomous Vehicles · Software Development
+7 навыков
motional
240 000 $ – 330 000 $

Principal Engineer, Team Lead- Motion Planning

LeadУдалённоСША
C++ · Python · Linux · SQL · Motion Planning · Robotics · Machine Learning · Search Algorithms · Control Systems · Simulation Tools
+10 навыков
более 1000 офферов получено
4.9

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!

motional
Страна
США
Зарплата
212 000 $ – 283 900 $