Назад
1 день назад

Software Engineer, Perception Scaling Evaluation (AI)

170 000 - 216 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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: Hybrid; must be based in Mountain View or San Francisco, California

Salary: $170,000—$216,000 USD

Company

Waymo is an autonomous driving technology company building the Waymo Driver to improve mobility and safety through fully autonomous ride-hailing services.

What you will do

  • Analyze the Waymo Driver’s perception stack to understand capabilities across diverse driving conditions.
  • Help define the development direction to scale the perception stack to new environments, platforms, and sensors.
  • Collaborate with engineering teams to influence the roadmap for next-generation perception technology.
  • Architect high-scale, mission-critical automation and evaluation frameworks to establish safety and reliability.
  • Innovate simulation tools for advanced sensor emulation to test vehicle performance against edge-case faults.
  • Support the sign-off process for sensing system development and software releases.

Requirements

  • BS in Computer Science, Robotics, or a similar technical field.
  • 2+ years of experience in industrial AI applications involving the creation and evaluation of ML products.
  • Experience developing and conducting evaluations for large ML software systems.
  • Strong programming proficiency in C++ with a focus on robust and efficient code.
  • Must be located in or able to work from Mountain View or San Francisco, California.

Nice to have

  • MS or PhD in Computer Science, Robotics, or equivalent practical experience.
  • Experience with L4 autonomous vehicles or L2/L3 ADAS systems.
  • Strong software architecture skills.

Culture & Benefits

  • Discretionary annual bonus program.
  • Equity incentive plan.
  • Generous company benefits program.

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