Waymo

Field Quality Engineer

$177K–$218KFull-time · Mountain View, CA
✓ Verified live on the employer's own system · added 74 days ago
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Mid-level · 5+ yrs exp

Requirements

Experience: 5+ years

Skills & tools

LogisticsOperationsRoot Cause AnalysisData AnalysisPythonSQLTableauHazard Analysis

Benefits — mentioned in this posting

Remote / flexible
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Full job description

We're seeking curious and talented teammates to keep us moving in the right direction.

This role follows a hybrid work schedule and reports to the hardware field quality lead .

- Champion field quality initiatives, collaborating with Engineering, Manufacturing, Supply Chain, Software, and Operations teams to enhance product quality and reliability throughout the product lifecycle.

- Analyze fleet data to proactively identify emerging quality trends and systemic risks.

- Lead cross-functional root cause analysis, containment, and resolution for complex field issues, ensuring corrective actions prevent recurrence.

- Develop scalable field quality processes, tools, and automation to effectively identify, triage, and mitigate field failures.

- Define quality coverage requirements and implement validation methods to ensure corrective actions are effective in the field.

- Establish a structured feedback system where data and lessons learned continuously improve designs, diagnostics, and operational playbooks.

- 5+ years of experience in electro-mechanical product development.

- 5+ years of experience in a quality, reliability, or similar engineering role.

- 5+ years of experience in data analysis, reporting, and dashboard creation using tools such as Python, SQL, JMP, or Tableau.

- Strong knowledge and practical application of core quality and reliability methodologies and tools (e.g., 8D DMAIC, Kepner-Tragoe, FMEA, MSA, SPC, DOE). non highlighted- other problem solving tools

- Proven ability to lead cross-functional teams, coupled with excellent communication and problem-solving skills.

- Experience in the automotive, robotics, or similar complex systems industry.

- Advanced experience with statistical modeling and large-scale data analysis tools (e.g., Tableau, JMP, PLX).

- Deep understanding of hardware/software interactions, embedded systems, and diagnostics.

- Familiarity with advanced reliability analysis techniques (e.g., Weibull analysis, Nevada charting).

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This posting was published by Waymo on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.