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Google Driver Jobs (NOW HIRING)

Align technical solutions to customer business drivers such as revenue growth, operational ... Support Google Cloud and Google Maps Platform co-sell motions, including joint customer calls ...

Experience in storage systems, kernel drivers, embedded systems, solid-state drives, performance analysis and optimization. About the job Google's software engineers develop the next-generation ...

... drivers. * Excellent problem-solving and troubleshooting skills. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore ...

You will develop firmware, kernel drivers, system software, tools and security solutions optimized for Google's services. You will develop qualification frameworks, solutions and processes working ...

Deep understanding of ML trends, business drivers, and the software ecosystem. * Ability to engage ... We empower Google customers with breakthrough capabilities and insights by delivering AI and ...

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Google Driver information

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How much do google driver jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for google driver in the United States is $18.75, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Google Driver, and why are they important?

To thrive as a Google Driver (such as a vehicle operator for Google Maps' Street View), you need a valid driver’s license, a clean driving record, and familiarity with navigation and mapping. Experience with GPS devices, data collection equipment, and sometimes basic computer skills are typically required. Reliability, attention to detail, and strong communication skills help ensure accurate data collection and safe operation. These skills are crucial for gathering high-quality mapping data while maintaining safety and efficiency on the road.

What are some common challenges faced by Google Drivers, and how can they be overcome?

Google Drivers, often responsible for transporting staff, equipment, or sensitive materials, may encounter challenges such as navigating unfamiliar routes, managing tight schedules, and ensuring the security of transported items. To overcome these challenges, drivers typically use advanced navigation tools, maintain open communication with dispatchers, and follow strict protocols for safety and confidentiality. Additionally, adaptability and strong organizational skills are key to handling unexpected delays or changes in plans while maintaining high service standards.

What are Google Drivers?

Google Drivers are professional drivers employed or contracted by Google to operate company vehicles for various purposes, such as delivering goods, transporting employees, or supporting field operations like mapping and data collection. These drivers may work with self-driving car projects, shuttle services, or logistical operations. Their responsibilities typically include maintaining vehicle safety, following established routes, and adhering to traffic laws. Google Drivers are often required to have clean driving records and may need specialized training depending on the nature of their assignments. The role can vary depending on the department and specific projects within the company.

How much does a Google car driver get paid?

A Google driver, such as a self-driving car operator or test driver, typically earns between $15 and $25 per hour, depending on experience and location. Compensation may include benefits and opportunities for overtime, with roles often requiring technical skills and safety certifications.

How do I become a Google driver?

To become a Google driver, candidates typically need a valid driver's license, a clean driving record, and a reliable vehicle if required. The application process involves submitting an online application, passing background checks, and completing any necessary training or onboarding steps specified by the company or platform.

What is the difference between Google Driver vs FedEx Driver?

AspectGoogle DriverFedEx Driver
Required CredentialsValid driver's license, clean driving recordValid driver's license, commercial driving license (CDL) often preferred
Work EnvironmentPrimarily on-demand, flexible routes, often using app-based navigationScheduled routes, warehouse or distribution centers, delivery trucks
Employer & IndustryGoogle, tech industry, delivery of tech equipment or foodFedEx, logistics and courier services, package delivery
Common Search & ComparisonGoogle Driver vs FedEx DriverSimilar roles in delivery services, different companies

Google Drivers typically focus on delivering tech products or food using app-based systems with flexible schedules, while FedEx Drivers handle scheduled package deliveries with commercial licenses. Both roles require driving skills and a clean record but differ in work environment and industry focus.

Who gets to drive the Google car?

Google drivers, such as those working on autonomous vehicle projects, are typically trained professionals with relevant driving experience and technical knowledge. They may operate or monitor self-driving cars in testing environments, following safety protocols and regulatory guidelines.

What is the highest paid driving job?

The highest paid driving jobs typically include commercial truck drivers, especially those operating long-haul or specialized freight, with salaries often exceeding $70,000 annually. Experienced drivers with specialized skills, such as hazardous materials certification or operating heavy machinery, can earn higher wages, especially with overtime and bonuses.
More about Google Driver jobs
What cities are hiring for Google Driver jobs? Cities with the most Google Driver job openings:
What states have the most Google Driver jobs? States with the most job openings for Google Driver jobs include:
Infographic showing various Google Driver job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $38,995 per year, or $18.7 per hour.

Forward Deployed Engineer IV, Applied AI, Google Cloud

Google

San Francisco, CA • On-site

$62.25 - $85/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

34th of 192 rated software companies


Job description

info_outline
X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
The application window will be open until at least June 7, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Miami, FL, USA; New York, NY, USA; Portland, OR, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA; Ann Arbor, MI, USA; Houston, TX, USA; Madison, WI, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA.
Minimum qualifications:
  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with software development using Python or similar coding languages.
  • Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
  • Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.
  • Experience architecting AI systems on cloud platforms (e.g., Google Clloud Platform (GCP).

Preferred qualifications:
  • Master's degree or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.
  • Experience debugging agent logic and optimizing tool selection, including tracing conversation identifications (IDs) across microservices to identify and resolve failures in real-time.
  • Experience connecting agents to enterprise knowledge bases and optimizing retrieval-augmented Generation (RAG) chunking to prevent hallucinations.
  • Track record of troubleshooting live, high-traffic systems during critical windows.
  • Ability to travel up to 50% of the time.

About the job
As a Forward Deployed Engineer (FDE) in Applied AI, you will be the Agent Engineer and the primary driver for our customers' most critical AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from art of the possible to real-world business value and scalable, secure AI systems. This is a high-travel, role focused on leading technical delivery for conversational AI pilots and establishing the first customer user journeys (CUJs) for our largest customers at their sites. You will have an understanding of software engineering, Machine Learning operations, and cloud infrastructure.It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Serve as the lead developer for conversational AI and customer experience applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
  • Architect and code conversational flows that are functional, and optimized for the connective tissue between Google's conversational AI products and customers' live infrastructure, including APIs, legacy data silos, and security perimeters.
  • Build high-performance evaluation pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
  • Identify repeatable field patterns and technical friction points in Google's Applied Artificial Intelligence (AAI) stack, converting them into reusable modules or product feature requests for Engineering teams.
  • Co-build with customer engineering teams to instill Google-grade development best practices, ensuring project success and end-user adoption.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
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/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, 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 .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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