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Software Engineer - System Performance, Robot Software

Оценка ИИ

Wayve — лидер в области Embodied AI с отличным финансированием. Работа в Саннивейле над критически важными задачами автономного вождения предлагает уникальный профессиональный рост и конкурентную среду.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний архитектуры компьютеров, планирования ОС и специфических инструментов профилирования (Nvidia, QNX). Высокая сложность обусловлена необходимостью оптимизации систем реального времени для беспилотных автомобилей.

Анализ зарплаты

Медиана190 000 $
Рынок160 000 $ – 230 000 $
Оценка ИИ

Предлагаемая позиция в Саннивейле (Кремниевая долина) соответствует высокому уровню компенсации для инженеров по производительности систем. Рыночные ставки для Senior/Staff уровней в этом регионе часто превышают 200,000 USD базового оклада плюс опционы.

Сопроводительное письмо

I am writing to express my strong interest in the Software Engineer - System Performance position at Wayve. With a deep background in OS scheduling, computer architecture, and performance profiling, I have consistently focused on identifying and resolving complex system bottlenecks to ensure high-performance software delivery. My experience in instrumenting code and establishing performance baselines aligns perfectly with the Robot Software team's mission to provide a stable and efficient stack for autonomous driving.

I am particularly drawn to Wayve's hardware-agnostic approach and the challenge of optimizing software for real-time embodied AI. Having worked with profiling tools and metrics to drive methodical experiment evaluation, I am confident in my ability to collaborate across teams to reduce latency and enhance runtime efficiency. I am excited about the opportunity to contribute to a mission-driven company that is redefining the future of mobility in Sunnyvale.

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Откликнитесь в wayve уже сейчас

Присоединяйтесь к Wayve, чтобы оптимизировать будущее автономного вождения и работать с передовыми технологиями Embodied AI!

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

The Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.

The System Performance team equips all Wayve teams with the observability, profiling tools, and infrastructure needed to understand and optimise software performance across our development fleet. We work closely with teams to investigate issues, reduce bottlenecks, and promote best practices. Our work enhances core onboard components to ensure efficient use of compute and a solid foundation for running model experiments at scale. We also provide the tooling and infrastructure needed to quickly detect, diagnose, and address performance regressions, helping teams move faster with greater confidence.

Key responsibilities:

  • Investigate latency and performance bottlenecks across the entire software stack
  • Instrument code with profiling tools and metrics to collect performance data and identify optimization opportunities
  • Integrate and evaluate new profiling and instrumentation tools to benchmark system performance and establish baselines
  • Collaborate with multiple teams to understand their performance pain points and prioritize optimization efforts based on impact
  • Optimize critical code paths and algorithms to improve runtime efficiency, reduce latency, and enhance overall system performance

About you

In order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience.

Essential

  • Proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks
  • Proven track record of methodical experiment evaluation
  • Strong technical background on OS scheduling, computer architecture (memory hierarchy, CPU caches, context switches, …), and thread synchronisation

Desirable

  • Familiarity with Nvidia performance tools such as NV NSight, NV Lumos and tegrastat
  • Familiarity with observability tools such as Grafana (logs, metrics, traces), Databricks, Datadog
  • Familiarity with QNX and Momentics is a plus

This is a full-time role based in our office in Sunnyvale, California.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

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
  • Linux
  • Multithreading
  • Grafana
  • RTOS
  • Computer Architecture
  • Datadog
  • Performance Profiling
  • QNX
  • Nvidia Nsight

Возможные вопросы на собеседовании

Проверка фундаментальных знаний о работе систем реального времени.

Как бы вы подошли к минимизации задержек (latency) в многопоточном приложении, работающем на RTOS, такой как QNX?

Оценка навыков использования специализированного ПО для GPU.

Опишите ваш опыт использования Nvidia Nsight для поиска узких мест в производительности GPU-вычислений.

Проверка понимания аппаратных ограничений.

Как промахи кэша (cache misses) и переключения контекста влияют на производительность алгоритмов обработки сенсорных данных в реальном времени?

Оценка методологии работы с данными.

Расскажите о случае, когда вы проводили методичное сравнение производительности двух архитектурных решений. Какие метрики были ключевыми?

Проверка навыков мониторинга.

Как вы организуете систему алертинга и визуализации в Grafana для обнаружения регрессий производительности в парке роботов?

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