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Hardware Engineer
Отличная вакансия в ведущем стартапе в области беспилотников с сильным финансированием. Работа с передовыми технологиями (Embodied AI) и сложными инженерными задачами делает эту позицию крайне привлекательной для опытных инженеров.
Сложность вакансии
Высокая сложность обусловлена требованием к опыту работы более 7 лет и необходимостью глубоких знаний в области высокоскоростных интерфейсов и архитектур для ML-нагрузок. Роль требует междисциплинарного взаимодействия и работы с критически важными для безопасности системами.
Анализ зарплаты
Зарплата в вакансии не указана, но для позиции Senior Hardware Engineer в Саннивейле (Кремниевая долина) рыночные показатели очень высоки. Предлагаемый диапазон соответствует уровню топовых технологических компаний региона.
Сопроводительное письмо
I am writing to express my strong interest in the Hardware Engineer position at Wayve. With over 7 years of experience in embedded systems and high-performance compute integration, I have developed a deep expertise in designing robust electronics for complex applications. My background in architecting compute platforms for ML workloads and managing board-level design from schematic to validation aligns perfectly with Wayve's mission to advance Embodied AI.
Throughout my career, I have successfully navigated the challenges of high-speed digital interfaces like PCIe and Ethernet, ensuring signal integrity and system reliability in demanding environments. I am particularly drawn to Wayve's hardware-agnostic approach and the opportunity to collaborate with multidisciplinary teams to solve the intricate problems of autonomous driving. I am confident that my technical proficiency in C/C++ and Python, combined with my experience in scaling hardware to production, will allow me to make an immediate impact on your Hardware & Supply Chain team.
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Описание вакансии
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
About us
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The Role
We are seeking an experienced Hardware Engineer to join our Hardware team and play a key role in developing next-generation autonomous driving compute platforms. This role focuses on low-level electronics design, embedded systems, and high-performance compute integration translating autonomy requirements into robust, scalable hardware systems.
You will work hands-on with cutting-edge computing platforms, collaborating across hardware, software, and systems teams to design, bring up, and validate mission-critical electronics that enable embodied AI.
Key Responsibilities
- Design and develop embedded electronics systems for autonomous driving applications
- Architect and implement compute platforms for ML workloads
- Collaborate with software and autonomy teams to optimize hardware for performance, reliability, and scalability
- Own board-level design, bring-up, validation, and debugging across hardware and software boundaries
- Develop high-speed interfaces such as PCIe, Ethernet, USB, and related technologies in an automotive environment
- Work with mechanical engineering teams to design robust electronics hardware
- Lead schematic design, PCB layout reviews, and signal integrity considerations
- Create design and product specification documentation for electronics hardware
- Work with suppliers and manufacturing partners to ensure design robustness and production readiness
About You
Essential:
- 7+ years of experience in electronics or embedded systems design
- Strong experience with board-level design, bring-up, and debugging
- Deep understanding of embedded systems and compute architectures
- Experience with high-speed digital interfaces (e.g., PCIe, Ethernet, USB)
- Strong debugging skills across hardware and software systems
- Familiarity with Linux-based systems and embedded environments
- Proficiency in at least one programming language (e.g., C, C++, Python)
- Ability to architecture and analyze complex systems
- Strong communication skills and ability to collaborate across multidisciplinary teams
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field
Desirable Experience
- Experience designing hardware for AI/ML workloads or high-performance computing systems
- Experience with signal integrity, power integrity, and high-speed PCB design
- Knowledge of networking systems and protocols (Ethernet, TCP/IP, etc.)
- Experience with firmware or low-level software development (bootloaders, drivers, BSPs)
- Familiarity with NVIDIA and Qualcomm SoC applications
- Experience working with contract manufacturers and scaling hardware to production
- Autonomous vehicle, robotics, or other safety-critical system experience
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
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Навыки
- C++
- Python
- Embedded Systems
- Linux
- Ethernet
- PCB Design
- USB
- Signal Integrity
- Power Integrity
- SoC
- PCIe
- Hardware Architecture
Возможные вопросы на собеседовании
Проверка опыта работы с ключевыми интерфейсами, упомянутыми в вакансии.
Расскажите о вашем опыте проектирования и отладки высокоскоростных интерфейсов, таких как PCIe или 10GbE. С какими проблемами целостности сигналов вы сталкивались?
Вакансия ориентирована на ИИ-вычисления.
Как бы вы подошли к проектированию системы питания для высокопроизводительного SoC (например, NVIDIA или Qualcomm), предназначенного для задач машинного обучения?
Роль включает работу на стыке железа и софта.
Опишите процесс отладки сложной проблемы, которая могла быть вызвана как ошибкой в разводке платы, так и багом в прошивке/драйвере. Какие инструменты вы использовали?
Важно для автономных транспортных средств.
Какие специфические требования накладывает автомобильная среда на выбор компонентов и проектирование печатных плат по сравнению с потребительской электроникой?
Проверка навыков системного проектирования.
Как вы оптимизируете аппаратную архитектуру для минимизации задержек (latency) при передаче данных от сенсоров к вычислительному модулю?
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