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- 172 000 $ – 229 000 $
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Staff Embedded Software Engineer
Отличная вакансия в лидирующей компании сектора автономного вождения с конкурентной зарплатой, бонусами и возможностью работать с передовым стеком технологий (AI, Robotics, GPU).
Сложность вакансии
Роль уровня Staff требует не только глубоких знаний C++ и RTOS, но и навыков технического лидерства, проектирования сложных систем и работы с ИИ-ускорителями. Высокая планка ответственности за безопасность автономного вождения значительно повышает сложность.
Анализ зарплаты
Предложенный диапазон ($172k–$229k) полностью соответствует рыночным ожиданиям для позиции Staff Engineer в Питтсбурге, где средняя базовая зарплата для такого уровня составляет около $190k-200k без учета акций.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Embedded Software Engineer position at Motional. With extensive experience in developing high-performance C++ software for embedded Linux and RTOS, I am excited about the opportunity to contribute to your High Performance Compute Platform team. My background in designing infrastructure for vision processing and radar systems aligns perfectly with Motional's mission to evolve next-generation autonomous driving systems.
Throughout my career, I have led technical initiatives from requirement gathering to execution, consistently applying Test-Driven Development (TDD) to ensure system reliability. I have deep expertise working with ARM Cortex processors, networking protocols like CAN and Ethernet, and debugging complex hardware-software interactions. Furthermore, my experience with Python automation and shell scripting allows me to streamline development workflows effectively.
I am particularly drawn to Motional because of your track record in scaling robotaxi fleets and your commitment to safety and diversity. I am eager to bring my technical mentorship skills and passion for autonomous vehicle technology to your Pittsburgh team and help solve the complex challenges of deterministic execution and sensor integration.
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Описание вакансии
Mission Summary:
Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.
What You'll Be Doing:
- Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
- Design test harnesses for embedded software components and full systems
- Provide technical mentorship to engineers.
- Proactively work with cross-functional engineering teams to solve complex and interesting problems.
What We're Looking For:
- Experience with creating detailed requirements from use cases.
- Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
- Experience writing software for embedded platforms in C++.
- Experience with Test-Driven Development (TDD).
- Experience working on embedded Linux / RTOSs.
- Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
- Experience with debugging on embedded platforms.
- Experience writing software in Python and experience doing automation with shell scripting.
- Experience working with ARM Cortex MCUs or Microprocessors.
Bonus Points (not required):
- Experience working with large data pipelines, and platforms that require deterministic execution.
- Experience using inter-system communication protocols such as I2C and SPI
- Experience deploying Machine Learning models.
- Experience working with GPUs.
- Experience working directly with the Linux kernel or Device Drivers.
- Experience with Simulation and Code Generation, and knowing when their use is appropriate.
- Experience working with Bazel.
- Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
- Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks.
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
$172,000—$229,000 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, 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++
- Python
- Embedded Linux
- RTOS
- ARM Cortex
- TDD
- Ethernet
- CAN
- Shell Scripting
- Bazel
- PyTorch
- TensorFlow
- ONNX
- I2C
- SPI
- GPU
Возможные вопросы на собеседовании
Для уровня Staff важно умение проектировать системы с нуля.
Опишите процесс проектирования программной инфраструктуры для обработки данных с лидара в реальном времени: как вы обеспечите детерминизм и минимальную задержку?
Проверка опыта работы с низкоуровневыми интерфейсами и отладкой.
С какими наиболее сложными проблемами синхронизации в RTOS вы сталкивались и какие инструменты отладки (например, логические анализаторы, JTAG) использовали для их решения?
Позиция предполагает менторство и лидерство.
Как вы подходите к декомпозиции крупной технической инициативы для команды из 5 инженеров и как обеспечиваете соблюдение стандартов качества кода?
В описании упомянуты ML-фреймворки и GPU.
Каков ваш опыт оптимизации инференса нейронных сетей на встраиваемых платформах с ограниченными ресурсами (например, на ARM или GPU)?
Безопасность критична для беспилотников.
Как вы интегрируете принципы функциональной безопасности и TDD в процесс разработки встраиваемого ПО?
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- Страна
- США
- Зарплата
- 172 000 $ – 229 000 $