Назад
21 час назад

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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Описание вакансии

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; hybrid work schedule.

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

Company

Autonomous driving technology company developing autonomous ride-hail services and vehicle-platform solutions through its self-driving system.

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 reliability risks.
  • Lead cross-functional root cause analysis, containment, and corrective action for complex field issues.
  • Develop scalable quality processes, tools, and automation for identifying, triaging, and mitigating field failures.
  • Define quality coverage requirements and validation methods to verify corrective actions in the field.
  • Build structured feedback systems that improve product designs, diagnostics, and operational playbooks.

Requirements

  • Bachelor’s degree in an engineering discipline.
  • 8+ years of experience in electro-mechanical product development.
  • 5+ years of experience in quality, reliability, or a similar engineering role.
  • 5+ years of 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 tools such as Tableau, JMP, or PLX.
  • Understanding of hardware/software interactions, embedded systems, and diagnostics.
  • Experience with advanced reliability analysis techniques such as Weibull analysis and Nevada charting.

Culture & Benefits

  • Collaborative work across electrical, mechanical, reliability, software, and vehicle engineering disciplines.
  • Hybrid work schedule.
  • Discretionary annual bonus program, subject to eligibility.
  • Equity incentive plan, subject to eligibility.
  • Company benefits program, subject to eligibility.

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