Fleet Health Specialist
Waymo is hiring a Fleet Health Specialist in San Francisco, United States. It pays $63-$77/hr and Level rates it ; you can apply on Waymo.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions data analysis, metrics and fleet operations among its tools and skills.
- Level classes it as a mid-level role.
- Waymo has 365 other open roles on Level.
- Posted within the past two weeks.
AI in this role
Analyze fleet health metrics and drive performance improvements for Waymo's autonomous vehicle operations.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo Operations exists to deliver the Waymo Driver to the world. We are a global team building and scaling the world's first and leading autonomous fleet and operations platform. From component sourcing to end customer management, we enable and create value for Waymo through scaled and orchestrated deployment of the Waymo Driver. At Waymo, we are dedicated to building a culture that promotes collaboration and celebration. We value our team members' unique backgrounds, perspectives, and experiences and support and encourage all team members to share their ideas to help Waymo better serve the communities in which we operate.
This role will report to the Fleet Manager.
You will:
- Perform quantitative and qualitative analyses with internal partners and stakeholders that translates data into actionable insights for fleet health metrics across multiple markets. Additionally work with fleet tooling and data science teams to evolve data signal availability and define metrics calculations
- Deliver recurring reports on fleet performance against availability targets, report on progress against issue resolution paths, and escalate findings to cross-functional Engineering and Operations teams as needed
- Drive corrective actions by establishing process, policy, and technical functionality requirements which mitigates scaled risk, reduces disruption, prevents issue recurrence, and ensures resilient fleet operations
- Analyze end-to-end capability recovery metrics, generate reports of offline time attribution, and drive cross functional technical and operational improvement efforts
- Travel to operational regions to perform fleet inspections, verify technical and operational interdependencies
are met to ensure fleet online rate - Foster highly collaborative cross-functional relationships with operations, engineering, and external suppliers,
to ensure consistent and effective issue response strategies
You have:
- A B.A., B.S. and/or an automotive technology degree
- 3+ years experience in automotive service, fleet management, and/or automotive technology development
- Demonstrated ability to execute and facilitate technical root cause analysis initiatives along side engineering
partners - Strong competency with Google Workspace tools or equivalent (word processing, spreadsheets, slide decks)
- Excellent written and verbal communication, documentation and presentation skills, facilitating clear and open
communication and collaboration across all levels of the organization with a proven ability to influence large
cross-functional teams
We prefer:
- Diagnostic troubleshooting experience with HV, CAN, Flexray, LIN, HVAC, cooling, chassis, and suspension
- Technical understanding of complex automotive and autonomous driving systems as well as systems diagnostics best practices and root cause analysis best practices"
- Experience with Automotive OEM
- The ability to debug complex electrical, mechanical, optical and software systems
- Experience with SQL, R, or other data analytics language
- Demonstrated ability to partner with and align executive stakeholders across a diverse geographic and
functional landscape
The expected hourly range for this position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Hourly Range$62.50—$76.93 USDHow we rate this
Fleet Health Specialist at Waymo rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where metrics was part of your work. What did you do?
- Tell me about a project where fleet operations was part of your work. What did you do?
- Tell me about a project where cross functional leadership was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Data Analysis, Metrics, Fleet Operations, and Cross Functional Leadership. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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