Hybrid Field Quality Engineer - Data-Driven Reliability

Waymo

Mountain View (CA)

Hybrid

USD 210,000 - 259,000

Full time

14 days+
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Benefits offered by this job

Discretionary annual bonus
Equity incentive plan
Benefits program

Job summary

Waymo is seeking a seasoned Hardware Quality Engineer to drive field quality initiatives across engineering, manufacturing, and operations. You will analyze fleet data to spot emerging risks, lead cross-functional root cause analysis, and develop scalable processes to prevent field failures.

The role requires strong communication and problem-solving skills in a hybrid work environment. The ideal candidate has 8+ years in electro-mechanical product development and 5+ years in quality engineering,

Qualifications

  • Bachelor's degree in Engineering is required.
  • 8+ years in electro-mechanical product development.
  • 5+ years in a quality/reliability engineering role.
  • 5+ years of data analysis and dashboard creation with Python/SQL/JMP/Tableau.
  • Strong quality methodologies and cross-functional leadership capabilities.

Responsibilities

  • Champion field quality initiatives across multiple teams to improve product reliability.
  • Analyze fleet data to identify quality trends and systemic risks.
  • Lead cross-functional root cause analysis, containment, and corrective actions.
  • Develop scalable field quality processes and automation for fault triage.
  • Define validation methods and feedback loops to improve designs and playbooks.
  • Collaborate to ensure systemic improvements across the product lifecycle.

Skills

Field quality
Data analysis
Cross-functional leadership
Problem solving

Education

Bachelor's degree in Engineering

Tools

Python
SQL
JMP
Tableau

Job description

Waymo is seeking a seasoned Hardware Quality Engineer to drive field quality initiatives across engineering, manufacturing, and operations. You will analyze fleet data to spot emerging risks, lead cross-functional root cause analysis, and develop scalable processes to prevent field failures.

The role requires strong communication and problem-solving skills in a hybrid work environment. The ideal candidate has 8+ years in electro-mechanical product development and 5+ years in quality engineering,

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