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60 Waymo Operations Jobs Hiring Near You

Waymo

Staff Data Scientist, Weather

San Diego, CA

In this role, you will lead key initiatives for modeling weather patterns and their impact on Waymo's ride hailing service, and streamlining Waymo's operational procedures designed to mitigate ...

Waymo

Staff Data Scientist, Weather

Mountain View, CA · On-site

$251K - $310K/yr

Optimize Waymo's operational processes for addressing adverse/extreme weather across a wide range of geographical territories, making them smarter, more responsive, and more efficient. * Develop a ...

Waymo

Network Operations Manager

Mountain View, CA · On-site

$100K - $134K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Commercialization and Scale the business, Ensure Operational Resilience and Uptime, Resiliency ...

Waymo

Network Operations Manager

Mountain View, CA

$100K - $134K/yr

The Waymo Infrastructure & Network Services (WINS) team's mission is to: Provide reliable ... Technical Operations : Provide technical leadership during complex network event correlation ...

Waymo

Software Quality Operations Specialist

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... The Software Quality Operations (SWQOPS) team is at the heart of ensuring the safety, reliability ...

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Waymo Jobs Information

What is it like to work at Waymo?

Waymo is a technology company that values innovation, collaboration, and safety, fostering an environment where employees can work together to develop and implement autonomous driving solutions.

The company's structure is organized into various teams, including software engineering, hardware development, and operations, allowing employees to specialize in their areas of expertise and contribute to the development of self-driving cars. Waymo's work environment is designed to encourage creativity and experimentation, with access to cutting-edge technology and resources.

Working at Waymo may appeal to individuals who are passionate about transforming the transportation industry and have a strong interest in artificial intelligence, machine learning, and software development, as the company offers opportunities to work on complex technical challenges and make a meaningful impact on society.

What makes Waymo an attractive place to work?

Waymo is a leading autonomous driving technology company, a subsidiary of Alphabet Inc., and a pioneer in the development of self-driving cars. The company's workplace is characterized by a culture of innovation, collaboration, and experimentation, with opportunities for engineers and researchers to work on cutting-edge projects and contribute to the advancement of autonomous driving technology. Joining Waymo offers the chance to be part of a team that is shaping the future of transportation and mobility, with opportunities for professional growth, learning, and making a meaningful impact on society.

What are the most popular job types at Waymo?

    What are the most popular jobs at Waymo?

    What are the most popular categories at Waymo?

    Infographic showing various Operations job openings at Waymo in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% Physical, 25% Hybrid, and 3% Remote job distribution.

    Staff Data Scientist, Weather

    Waymo

    San Diego, CA

    Full-time

    Re-posted 22 days ago

    Job description

    Rigorous evaluation of the Waymo Driver, including monitoring the performance of Waymo's fleet in the field, is a critical part of scaling our ride hailing service and achieving Waymo's ambitious goals. In this role, you will lead key initiatives for modeling weather patterns and their impact on Waymo's ride hailing service, and streamlining Waymo's operational procedures designed to mitigate weather-related challenges in real time and measuring the performance of the Waymo Driver in adverse weather conditions.

    In this hybrid role you will report to the Data Science Lead for Driving Quality & Scope Expansion.

    You will:

    • Define and uphold a high bar for measurement rigor. Ensure we can confidently rely on the evaluation signals informing deployment, scaling, and mitigation decisions. Identify and work to resolve any gaps where current evaluation signals are not scaling with Waymo's business or providing the necessary actionability for stakeholders.
    • Build pipelines and models integrating a range of existing and novel weather-specific data sources (1P/2P/3P) to enhance Waymo's weather intelligence and prediction capabilities.
    • Measure the performance of the Waymo driver in adverse/extreme weather conditions (fog, rain, snow, ice, hail, flooding), providing input on Waymo's readiness to scale in challenging weather contexts. Communicate these findings to senior stakeholders.
    • Develop scalable and repeatable analysis frameworks that support multiple climate types, both domestically and internationally.
    • Optimize Waymo's operational processes for addressing adverse/extreme weather across a wide range of geographical territories, making them smarter, more responsive, and more efficient.
    • Develop a deep understanding of Waymo's long-term roadmap, and collaborate with leads in product, engineering, and systems engineering to unlock key deployment milestones. Be an opinionated partner influencing roadmaps for engineering work to improve our measurement capabilities.
    • Be an active technical contributor on the team, as well as a technical lead to junior data scientists. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Champion data science excellence and provide constructive technical feedback within the team and across Waymo.

    You have:

    • Degree in a quantitative field (e.g. Statistics, Mathematics, Physics).
    • Either a PhD in a quantitative field and 8+ years of industry experience, or 12+ years of industry experience solving data science problems.
    • Experience working with and building models for spatio-temporal data.
    • Experience as a technical lead.
    • Experience working in highly cross-functional teams and championing data-driven culture.
    • Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models.
    • Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL. 

    We prefer:

    • PhD in a quantitative, weather-adjacent field (Atmospheric Science, Meteorology, Hydrology, etc.), and/or academic experience developing and applying statistical methods in those fields.
    • Experience working with third-party (e.g., public / private) weather data sources and integrating multiple data sources.
    • Experience solving problems related to weather modeling or prediction.
    • A demonstrated track record of independently driving data science projects to deliver business value.
    • Experience with large-scale evaluation frameworks for software development.

    Apply