Назад
6 месяцев назад

Onboard Field Response Lead (AI)

349 000 - 431 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Onboard Field Response Lead (AI): Leading engineering analysis and response to novel and unexpected events in an autonomous vehicle fleet with an accent on production software robustness, field performance, and machine learning systems. Focus on hardening onboard software, organizing on-call response, improving debuggability, and solving unprecedented real-world driving challenges at scale.

Location: Mountain View, California, United States; hybrid work schedule

Salary: $349,000–$431,000 USD per year, plus eligibility for an annual bonus, equity incentive plan, and company benefits.

Company

Waymo develops autonomous driving technology and operates a fully autonomous ride-hail service powered by the Waymo Driver.

What you will do

  • Lead engineering analysis and responses to novel, rare, and unexpected events encountered by the autonomous vehicle fleet.
  • Contribute to onboard software architecture focused on robustness and debuggability.
  • Harden software, develop response playbooks, improve on-call metrics, and lead post-mitigation workstreams.
  • Improve the robustness of software systems running inside autonomous vehicles.
  • Partner with organizational leaders to improve large-scale software engineering practices.
  • Organize and participate in on-call rotations and hire or manage additional engineers when needed.

Requirements

  • Master’s degree or PhD in Computer Science, Engineering, or a related technical field.
  • 10+ years of experience leading large-scale production software systems, especially machine learning systems.
  • 5+ years of experience as an organizational leader managing teams and partnering with other leaders.
  • Experience organizing and running on-call rotations.
  • Strong influence without authority, collaboration, communication, and organizational awareness skills.

Nice to have

  • Experience leading hybrid hardware/software production systems.
  • Experience leading teams working on modern deep learning and large-scale models.
  • A track record of driving change in engineering organizations with more than 1,000 employees.

Culture & Benefits

  • Work on autonomous driving systems operating across millions of miles each week.
  • Opportunity to solve challenging real-world safety and reliability problems at scale.
  • Eligibility for a discretionary annual bonus program.
  • Equity incentive plan and company benefits program, subject to eligibility.

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