Waymo
Operations Controller
Tempe, AZ, USA · Full-time
Sponsorship not specified$226k-$278kDetected 7 hours ago
CommunicationCollaboration
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role88
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- 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.
- Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.
Responsibilities
- Strong systems-thinking capabilities with the ability to synthesize live signals to maintain situational awareness across target markets.
- Exemplary communication and presentation skills, with the confidence to deliver crisp briefings to cross-functional leaders and stakeholders.
Requirements
- 12+ years of experience making decisions in real-time, mission-critical operational environments in fast-paced, 24/7 environments
- 15+ years of experience making decisions in real-time, mission-critical operational environments in fast-paced, 24/7 environments
Compensation
- $226,000 - $278,000 USD
- The expected base salary range for this full-time position across US locations is listed below.
Benefits
- 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.
This listing is sourced directly from Waymo's careers page and normalized into a canonical job model.