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Staff Field Quality Engineer (Automotive)

210 000 - 259 000$
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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Текст:
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TL;DR
Staff Field Quality Engineer (Automotive): Improving the field quality and reliability of autonomous driving hardware through fleet-data analysis, cross-functional root cause analysis, and scalable validation processes with an accent on electro-mechanical products, diagnostics, and corrective action effectiveness. Focus on identifying systemic risks, automating field-failure triage, and building feedback systems that improve designs and operational playbooks.

Location: Mountain View, California, United States; on-site listing with a hybrid work schedule

Salary: $210,000–$259,000 USD base salary per year, plus eligibility for an annual bonus, equity incentive plan, and company benefits.

Company

Waymo develops autonomous driving technology, including the Waymo Driver and the hardware products integrated into autonomous vehicle platforms.

What you will do

  • Lead field quality initiatives across Engineering, Manufacturing, Supply Chain, Software, and Operations.
  • Analyze fleet data to identify emerging quality trends and systemic risks.
  • Lead cross-functional root-cause analysis, containment, and corrective actions for complex field issues.
  • Develop scalable field quality processes, tools, and automation for identifying, triaging, and mitigating failures.
  • Define quality coverage requirements and validation methods for corrective actions.
  • Build feedback systems that use field data and lessons learned to improve designs, diagnostics, and operational playbooks.

Requirements

  • Bachelor’s degree in an engineering discipline.
  • At least 8 years of experience in electro-mechanical product development.
  • Experience in quality, reliability, or a similar engineering role.
  • Experience with data analysis, reporting, and dashboard creation using Python, SQL, JMP, or Tableau.
  • Practical knowledge of quality and reliability methods, including 8D, DMAIC, Kepner-Tregoe, FMEA, MSA, SPC, and DOE.
  • Ability to lead cross-functional teams with strong communication and problem-solving skills.

Nice to have

  • Master’s degree or higher in an engineering discipline.
  • Experience in automotive, robotics, or other complex systems industries.
  • Advanced statistical modeling and large-scale data analysis experience with Tableau, JMP, or PLX.
  • Understanding of hardware/software interactions, embedded systems, and diagnostics.
  • Familiarity with Weibull analysis and Nevada charting.

Culture & Benefits

  • Collaborative work across electrical, mechanical, reliability, software, and vehicle engineering disciplines.
  • Hybrid work schedule with on-site expectations in Mountain View.
  • Eligibility for a discretionary annual bonus program.
  • Equity incentive plan and company benefits program, subject to eligibility.

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