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Overnight Google Mapping Driver Jobs (NOW HIRING)

Director, Product Finance, Google Cloud

Sunnyvale, CA · On-site

$132K - $172K/yr

Strong business acumen with an understanding of business drivers and value-creation. * Ability to ... Google Maps Platform) and Workspace. We are a thought partner and trusted strategic adviser to the ...

Proficiency in use of MS Office Suite, GPS, Google Maps, and other traffic related applications ... Willing to work a flexible schedule including weekends, evenings and overnight. * Highly organized ...

Proficiency in use of MS Office Suite, GPS, Google Maps, and other traffic related applications ... Willing to work a flexible schedule including weekends, evenings and overnight. * Highly organized ...

Proficiency in use of MS Office Suite, GPS, Google Maps, and other traffic related applications ... Willing to work a flexible schedule including weekends, evenings and overnight. * Highly organized ...

Plan and navigate routes using Google Maps or similar applications * Ensure timely and accurate ... Valid CDL Class C license * At least 18 years of age and legally eligible to work in the United ...

Join Our Team as an Overnight Alarm Monitor Dallas, TX! Are you a detail-oriented professional with ... Proficiency in video monitoring software, Microsoft Office, and Google Maps is essential. This ...

Join Our Team as an Overnight Alarm Monitor Dallas, TX! Are you a detail-oriented professional with ... Proficiency in video monitoring software, Microsoft Office, and Google Maps is essential. This ...

Join Our Team as an Overnight Alarm Monitor Dallas, TX. Are you a detail-oriented professional with ... Proficiency in video monitoring software, Microsoft Office, and Google Maps is essential. This ...

Join Our Team as an Overnight Alarm Monitor Dallas, TX! Are you a detail-oriented professional with ... Proficiency in video monitoring software, Microsoft Office, and Google Maps is essential. This ...

Showing results 21-40

Overnight Google Mapping Driver information

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$14

$37

$89

How much do overnight google mapping driver jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for overnight google mapping driver in the United States is $37.80, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $41.35 per hour, depending on experience, location, and employer.

What is an overnight Google mapping driver?

Overnight Google Mapping Drivers are individuals hired to operate specially-equipped vehicles that capture street-level imagery for Google Maps during nighttime hours. Their main responsibility is to drive through assigned routes while the vehicle’s cameras and sensors collect updated geographic data. Driving overnight can help avoid heavy daytime traffic and capture clearer images in some locations. These drivers play a critical role in keeping Google Maps accurate and up-to-date for users worldwide.

What are the key skills and qualifications needed to thrive as an overnight Google mapping driver?

To excel as an Overnight Google Mapping Driver, you need a valid driver's license, a clean driving record, attention to detail, and familiarity with basic navigation and mapping concepts. Experience with GPS devices, mapping software, and specialized camera or sensor equipment is commonly required. Reliability, strong time management, and the ability to work independently at night are vital soft skills. These competencies ensure accurate data collection, safe operation of equipment, and timely completion of mapping assignments in varying nighttime conditions.

What are some unique challenges faced by overnight Google mapping drivers, and how can applicants prepare for them?

Overnight Google Mapping Drivers often work independently during late hours, which can present challenges such as maintaining alertness, navigating less familiar or poorly lit areas, and managing fatigue. Applicants should be prepared for an unconventional schedule and be comfortable driving long hours with minimal supervision. Strong self-motivation, attention to safety protocols, and good time management are crucial for success in this role. Additionally, drivers may need to troubleshoot technical equipment or coordinate remotely with support teams if issues arise during mapping runs.

What is the difference between Overnight Google Mapping Driver vs Google Street View Driver?

AspectOvernight Google Mapping DriverGoogle Street View Driver
CredentialsValid driver’s license, clean driving recordValid driver’s license, clean driving record
Work EnvironmentNighttime, urban and suburban areasDaytime or flexible hours, urban and rural areas
Employer & IndustryGoogle, mapping and tech industryGoogle, mapping and tech industry
Job FocusCapturing street-level imagery overnightCapturing street-level imagery during the day or flexible hours

The main difference is that Overnight Google Mapping Drivers work primarily at night to capture imagery in urban areas, while Google Street View Drivers often work during the day or flexible hours to update and expand street-level images. Both roles require similar credentials and are part of Google's mapping projects, but their work hours and focus differ.

More about Overnight Google Mapping Driver jobs

What cities are hiring for Overnight Google Mapping Driver jobs?

Cities with the most Overnight Google Mapping Driver job openings:

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The most popular types of Google Mapping Driver jobs are:

What states have the most Overnight Google Mapping Driver jobs?

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What are popular job titles related to Overnight Google Mapping Driver jobs?

For Overnight Google Mapping Driver jobs, the most frequently searched job titles are:

What other helpful pages are available for Overnight Google Mapping Driver?

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Infographic showing various Overnight Google Mapping Driver job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $78,621 per year, or $37.8 per hour.

Software Engineer III, AI/ML, Foundational Lanes

Mountain View, CA • On-site

Google Inc.
Software Development • 10K+ employees

Other

Re-posted 6 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


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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