Работа над автономным вождением в Waymo — это топ-уровень. Роль четко определена, домен находится на переднем крае AI, а оплата соответствует рыночному среднему.
Staff Software Engineer, Simulator Platform (C++): Building and scaling realistic simulation systems for autonomous driving, including mapping data, simulated agents, roads, traffic controls, weather, and vehicle sensors with an accent on C++ systems programming, backend workflows, databases, and machine learning. Focus on improving simulator performance, scalability, and reliability while designing long-term architecture for growing internal demand.
Location: Hybrid/onsite in Mountain View or San Francisco, California, United States
Salary: $251,000–$310,000 USD annually, plus eligibility for an annual bonus, equity incentives, and company benefits.
Company
Autonomous driving technology company developing fully autonomous ride-hail services and simulation systems for the Waymo Driver.
What you will do
Scale simulation systems and support critical autonomous-driving milestones in collaboration with onboard and research engineers.
Develop, test, and evolve mapping data within the simulator.
Improve and monitor simulator performance, scalability, and reliability.
Design long-term architecture for growing internal customer and product needs.
Build realistic simulations of vehicles, pedestrians, cyclists, roads, traffic controls, weather, and camera, lidar, and radar sensor suites.
Requirements
Hands-on experience building a widely used internal- or external-facing product.
Strong C++ skills.
Backend experience with workflows, databases, SQL, and production monitoring.
Experience collaborating across software engineering, machine learning, data science, onboard engineering, and research teams.
Availability to work in a hybrid/onsite role in Mountain View or San Francisco, California.
Nice to have
Experience releasing software in highly distributed, heterogeneous execution environments.
Systems programming experience with game engines, databases, operating systems, or distributed systems.
Machine learning experience.
Previous technical leadership experience.
Culture & Benefits
Collaborative environment involving machine learning engineers, software engineers, and data scientists.
Work on advanced simulation technologies using large language models, world models, generative methods, reconstructive methods, and traditional rendering.
Eligibility for a discretionary annual bonus program.
Equity incentive plan and company benefits program, subject to eligibility.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →