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Google Research Jobs in Nevada (NOW HIRING)

... Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Individual pay is determined by factors including job-related skills, experience, and relevant ...

Data Center Operations Manager

Reno, NV · On-site

$166K/yr

... Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant ...

... Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant ...

Knowledgeable with Google Analytics, Keyword Research, On Page SEO, Google Ads * Knowledge with performing ongoing keyword research including discovery and expansion of keyword opportunities * Knows ...

Knowledgeable with Google Analytics, Keyword Research, On Page SEO, Google Ads * Knowledge with performing ongoing keyword research including discovery and expansion of keyword opportunities * Knows ...

... Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant ...

AI Architect

Las Vegas, NV · On-site

$60.25 - $79.25/hr

The ideal candidate will have strong expertise in autonomous AI systems, Google Cloud AI services ... Research and evaluate emerging technologies in Large Language Models (LLMs), Multi-Agent Systems ...

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Google Research information

See Nevada salary details

$30.5K

$59.8K

$96.7K

How much do google research jobs pay per year?

As of Aug 27, 2026, the average yearly pay for google research in Nevada is $59,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,800.00 and $71,300.00 per year, depending on experience, location, and employer.

What is a Google Research?

A Google Research job involves conducting cutting-edge research in artificial intelligence, machine learning, computer science, and other advanced fields. Researchers at Google work on theoretical and applied problems, develop new algorithms, and publish papers in top conferences. They also collaborate with product teams to integrate research breakthroughs into real-world applications. These roles often require strong expertise in fields like deep learning, natural language processing, or computer vision, as well as a PhD or equivalent experience.

What types of projects and research areas do Google Research team members typically work on?

Team members at Google Research work on a wide variety of cutting-edge projects, including but not limited to machine learning, natural language processing, computer vision, and artificial intelligence. Research topics can range from developing novel algorithms to creating scalable systems that serve billions of users. The team often collaborates with product groups and academic partners, providing opportunities to see research make a real-world impact. You’ll find both individual and group-oriented projects, with regular opportunities for publication, patent filings, and contribution to open-source software. This diversity allows researchers to continuously learn and advance their careers in multiple directions.

What are the key skills and qualifications needed to thrive in the Google Research position, and why are they important?

Succeeding at Google Research requires a strong background in computer science, mathematics, or a related technical field, typically supported by a Ph.D. or equivalent research experience. Familiarity with Python, TensorFlow, PyTorch, and experience in publishing in top-tier conferences are highly valued. Excellent problem-solving skills, intellectual curiosity, and the ability to communicate complex ideas clearly are important soft skills. These competencies are crucial for driving innovative research, effective team collaboration, and advancing impactful projects at Google.

Does Google hire researchers?

Yes, Google hires researchers in various roles such as research scientists and research engineers who work on advancing technology and innovation. These positions typically require strong expertise in areas like machine learning, artificial intelligence, or data analysis, and often involve collaboration with cross-functional teams. Candidates usually need relevant advanced degrees and experience with research tools and methodologies.

How to become a Google Researcher?

To become a Google Researcher, candidates typically need a strong background in computer science, machine learning, or related fields, often holding a Ph.D. or master's degree. Relevant skills include programming in languages like Python or C++, experience with research methodologies, and familiarity with tools such as TensorFlow. Applying through Google's careers portal and demonstrating a strong research portfolio or publications can improve chances.

What are popular job titles related to Google Research jobs in Nevada?

For Google Research jobs in Nevada, the most frequently searched job titles are:

Infographic showing various Google Research job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $59,822 per year, or $28.8 per hour.

Data Center Technician, Third Party Data Centers

Las Vegas, NV • On-site


Google
Software Development • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies

Free food

Great coworkers

People enjoy working here


Full-time

Posted 18 days ago


Job description

info_outline
X This role is not eligible for U.S. immigration sponsorship.
Minimum qualifications:
  • Experience with performing component-level repairs and troubleshooting on technical equipment.
  • Experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols.
  • Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting.
  • Must have the ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.

Preferred qualifications:
  • Bachelor's degree or equivalent practical experience.
  • Completion of the online Google IT Support Professional Certificate program.
  • 2 years of experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
  • Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc.).
  • Experience working within a data center or network operation center environment.
  • Ability to collaborate and partner with teams to overcome issues, and to adapt to changes in a dynamic work environment.

About the job
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $86000 - $118000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Deploy and operate new data center infrastructure across projects or functions.
  • Report issues and follow data center procedures to troubleshoot and diagnose straightforward issues with equipment or infrastructure as they arise, and applying the resources needed to resolve identified issues.
  • Maintain the security and integrity of data, track various forms of media to check for standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards.
  • Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, in a team setting.
  • Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with defined solutions and limited guidance.

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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