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Senior/Staff C++ Software Engineer - Perception
Исключительная возможность работать в лидирующей компании в сфере автономного вождения (JV Hyundai и Aptiv). Высокий балл за сложность задач, работу с передовым стеком технологий и социальную значимость продукта.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям CUDA, оптимизации GPU и современному C++ в контексте систем реального времени для беспилотников. Позиция уровня Senior/Staff предполагает не только техническое мастерство, но и способность влиять на архитектуру всей системы восприятия.
Анализ зарплаты
Указанный диапазон соответствует рыночным ставкам для Senior/Staff инженеров в Сингапуре в секторе Deep Tech и Robotics. Компании уровня Motional обычно предлагают конкурентные пакеты, включающие бонусы и опционы, что может выводить совокупный доход выше среднего по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the Senior/Staff C++ Software Engineer position within the Perception team at Motional. With extensive experience in modern C++ and a deep focus on GPU-accelerated computing, I have consistently delivered high-performance solutions for complex robotic systems. My background in productionizing perception models and optimizing CUDA kernels aligns perfectly with Motional's mission to scale Level 4 autonomous driving technology.
In my previous roles, I have successfully bridged the gap between machine learning research and real-time deployment on edge devices. 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 expertise in system-level performance optimization and classical computer vision to help Motional continue setting the standard for safe and reliable autonomous mobility.
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Откликнитесь в motional уже сейчас
Присоединяйтесь к Motional, чтобы создавать будущее автономного транспорта и внедрять передовые алгоритмы восприятия в реальные роботакси!
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 who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.
What you’ll be doing:
- Productionize and deploy our perception models into edge devices
- Develop and optimize GPU-accelerated algorithms using CUDA
- Develop advanced post-processing and classical vision algorithms
- Drive performance optimization at system level (latency, throughput, memory, determinism)
- Drive code quality through reviews, testing strategies, and performance benchmarks
- Collaborate deeply with ML engineers to:
+ Improve model robustness and deployment readiness
+ Influence training objectives based on downstream system needs
+ Debug and resolve model–system integration issues
What We’re Looking for:
- Bachelor’s Degree. Preferably Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
- Minimum 3 years of professional experience and strong proficiency in modern C++ (C++14/17 or later)
- Hands-on experience with CUDA and GPU performance optimization
- Deep understanding of modern and classical computer vision and image processing techniques
- Experience with performance profiling and debugging tools (e.g., Nsight, Valgrind, perf)
- Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
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
- C++
- CUDA
- GPU Optimization
- Computer Vision
- Python
- Machine Learning
- Robotics
- Nsight
- Valgrind
- perf
- Software Design
- Image Processing
Возможные вопросы на собеседовании
Проверка глубоких знаний CUDA и понимания архитектуры GPU для оптимизации алгоритмов восприятия.
Расскажите о наиболее сложной задаче по оптимизации CUDA-кернела, которую вы решали. Каких показателей производительности удалось достичь?
Оценка опыта интеграции ML-моделей в реальные системы с учетом ограничений по задержке (latency).
Какие стратегии вы используете для минимизации задержек при деплое тяжелых нейросетевых моделей на edge-устройства?
Проверка навыков проектирования надежного ПО на C++ для критически важных систем.
Как вы обеспечиваете детерминизм и потокобезопасность в многопоточных C++ приложениях для автономного вождения?
Оценка понимания классических методов, которые часто дополняют глубокое обучение.
В каких случаях вы бы предпочли классические алгоритмы компьютерного зрения современным нейросетям в стеке восприятия?
Проверка навыков отладки сложных систем.
Опишите ваш процесс поиска и устранения утечек памяти или проблем с производительностью в распределенной системе с использованием Nsight или Valgrind.
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