Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Aug 20, 2026. Waymo scores B on the Alion truth index.
Join Waymo, a leader in autonomous driving technology. As a Senior Field Quality Engineer, you will champion field quality initiatives, analyze fleet data, lead root cause analysis, develop scalable processes, and establish a structured feedback system. You will work closely with cross-functional teams to enhance product quality and reliability throughout the product lifecycle.
Missions
- Champion field quality initiatives and collaborate with cross-functional teams to enhance product quality and reliability throughout the product lifecycle.
- Analyze fleet data to proactively identify emerging quality trends and systemic risks, and lead cross-functional root cause analysis for complex field issues.
- Develop scalable field quality processes, tools, and automation to effectively identify, triage, and mitigate field failures, and establish a structured feedback system for continuous improvement.
Profil recherché
- We're seeking curious and talented teammates to keep us moving in the right direction- 8+ years of experience in electro-mechanical product development
- Proven ability to lead cross-functional teams, coupled with excellent communication and problem-solving skills
- 5+ years of experience in data analysis, reporting, and dashboard creation using tools such as Python, SQL, JMP, or Tableau
- 5+ years of experience in a quality, reliability, or similar engineering role
- A Bachelor’s degree in an Engineering discipline
- 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
- A Master’s degree or higher in an Engineering discipline
- 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)

