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Street View Driver Jobs in California (NOW HIRING)

City of Brentwood

Streets Supervisor

Brentwood, CA · Hybrid

$57.74 - $70.18/hr

... Street Maintenance Supervisor . We are looking for a self-starter who takes initiative, works ... For more information, please view the here. What We Offer: The City of Brentwood provides an ...

City of Carpinteria

Crossing Guard I,II

Carpinteria, CA · On-site

$19.14 - $42/hr

Ensure that children are aware of proper safety rules when crossing streets; instruct children in ... Report traffic problems or irresponsible drivers to Supervisor. Greet the general public ...

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Street View Driver information

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$12

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$25

How much do street view driver jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for street view driver in California is $20.70, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $21.83 per hour, depending on experience, location, and employer.

What is a street view driver?

Street View Drivers are professionals employed by companies like Google to capture 360-degree images of streets, landmarks, and various locations using specialized camera equipment mounted on vehicles. Their work helps create and update map imagery for services such as Google Maps' Street View feature. These drivers follow predetermined routes, ensure the camera equipment functions correctly, and often log notes about new roads or inaccessible areas. The job may involve traveling to different regions and requires attention to detail, adherence to privacy guidelines, and safe driving practices.

What skills and qualifications are needed to be a street view driver?

To thrive as a Street View Driver, you need a valid driver's license, a clean driving record, strong navigation skills, and familiarity with local geography. Experience using GPS devices, digital mapping tools, and camera equipment is typically required for capturing high-quality imagery. Attention to detail, reliability, and good time management help drivers handle routes efficiently and troubleshoot equipment issues on the go. These skills are essential to ensure accurate data collection, safety, and timely project completion for mapping services.

What challenges do street view drivers face and how can they be managed?

Street View Drivers often encounter challenges such as navigating unfamiliar routes, dealing with weather-related difficulties, and ensuring that camera equipment remains functional throughout the day. Managing these challenges effectively involves thorough route planning, regular vehicle and equipment checks, and clear communication with the support team for troubleshooting. Being adaptable and maintaining a focus on safety are also crucial, as drivers may need to adjust routes or schedules in response to traffic, road closures, or local regulations.

What is the difference between Street View Driver vs Map Data Collector?

AspectStreet View DriverMap Data Collector
CredentialsValid driver's license, clean driving recordBasic data collection skills, sometimes a valid driver's license
Work EnvironmentDriving on city streets, highways, and rural roadsFieldwork in various outdoor locations, often walking or driving
Employer & IndustryGoogle, mapping companiesMapping and GIS companies, tech firms
Search & Comparison IntentUnderstanding driving roles for mappingData collection for mapping accuracy

Both roles involve outdoor work and may require driving, but Street View Drivers primarily focus on capturing imagery via vehicle, while Map Data Collectors gather geographic data to improve map accuracy. The roles often overlap in skills and industry usage, but their main tasks differ.

How do you become a street view driver?

To become a street view driver, candidates typically need a valid driver's license, a clean driving record, and experience operating vehicles. The role often requires working outdoors, sometimes with specialized camera equipment, and may involve background checks and training on data collection procedures.

How much do street view drivers get paid?

Street View drivers typically earn between $15 and $25 per hour, depending on the company, location, and experience. The role often involves operating specialized camera equipment and requires a valid driver's license and a clean driving record.

What cities in California are hiring for Street View Driver jobs?

Cities in California with the most Street View Driver job openings:

Street View Driver jobs near you
Infographic showing various Street View Driver job openings in California as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 31% Part Time, and 4% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $43,065 per year, or $20.7 per hour.

Software Engineer III, AI/ML, Foundational Lanes

Mountain View, CA • On-site

Google Inc.
Software Development • 10K+ employees
Learn more about Google Inc.external

$150 - $200/hr

Other

Re-posted 3 hours ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

Software Engineer III, AI/ML, Foundational Lanes

Google Mountain View, CA, USA

Qualifications
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience programming in Java, Python or C++.
  • 1 year of experience with end-to-end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 1 year of experience with one or more of the following: computer vision, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 2 years of experience with data structures and algorithms.
  • Experience in computational geometry.
Preferred Qualifications
  • Master's degree or PhD in Computer Science or related technical fields.
About the Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. We are looking for engineers who bring fresh ideas from all areas including information retrieval, distributed computing, large‑scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile. As a software engineer, you will work on a critical project with opportunities to switch teams and projects as you grow.

Geo is on a strategic multi‑year initiative to drastically revamp the Driving Experience. The goal is for Google Maps to be the trusted copilot for drivers worldwide, enabling stress‑free, safe, and sustainable trips and helping users navigate with confidence.

Our team is responsible for the data quality of road and lane data attributes and the construction of geometries used to render roads with richer lane details on the map. We achieve this through automation: leveraging AI/ML techniques to extract road and lane data from Geo’s extensive corpus of sensor, imagery, and location data, and through geometric algorithms (including GenAI) to construct consistent and smooth road and lane shapes in both 2D and 3D.

The Geo team focuses on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $147,000 - $211,000 (USD) + 15% bonus target + equity + benefits.

Responsibilities
  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices and to maintain quality.
  • Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and their impact on hardware, network, or service operations and quality.
  • Implement solutions in specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other basis protected by law. See also Google's EEO policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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