обновлено 14 дней назад
Software Engineer, Perception Scaling Evaluation (AI)
175 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Perception Scaling Evaluation (AI): Building and optimizing evaluation frameworks for the Waymo Driver's perception stack with an accent on scalability, sensor emulation, and safety. Focus on architecting high-scale automation tools and innovating simulation tools to test vehicle performance against edge-case faults.
Location: Onsite in Mountain View, California, or San Francisco, California; the role is also described as hybrid.
Salary: $175,000–$215,000 USD base salary per year, plus eligibility for an annual bonus, equity incentive plan, and company benefits.
Company
Waymo develops autonomous driving technology and the Waymo Driver, an autonomous driving system used for ride-hailing and other vehicle platforms.
What you will do
- Develop the perception stack and help scale it to new driving environments, vehicle platforms, and sensors.
- Architect high-scale automation and evaluation frameworks for the safety, performance, and reliability of the Waymo Driver.
- Build simulation tools for sensor emulation and testing against impairments, faults, and edge cases.
- Develop sensor data alignment and calibration systems for the Waymo Driver and log-processing backend.
- Collaborate with hardware and software teams to define sensor requirements and influence the perception technology roadmap.
- Support sensing-system and software-release sign-offs and present results at milestone reviews.
Requirements
- Bachelor’s degree in Computer Science, Robotics, or a similar technical field, or equivalent practical experience.
- 2+ years of experience applying industrial AI, including creating, maintaining, and evaluating ML products.
- Experience developing and conducting evaluations for large ML software systems.
- Strong C++ programming skills and experience writing robust, efficient code.
- Ability to work onsite or in the hybrid arrangement associated with Mountain View or San Francisco, California.
Nice to have
- Master’s degree or PhD in Computer Science, Robotics, or a similar technical field.
- Experience with L4 autonomous vehicles or L2/L3 ADAS systems.
- Strong software architecture skills.
Culture & Benefits
- Cross-functional collaboration with perception, hardware, software, and research teams.
- Access to large-scale driving datasets, sensor data, and simulation infrastructure.
- Eligibility for a discretionary annual bonus and equity incentive plan.
- Company benefits program, subject to eligibility requirements.
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 →