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Google Research Jobs in Texas (NOW HIRING)

... research, and much more.Individual pay is determined by factors including job-related skills ... Google is proud to be an equal opportunity and affirmative action employer. We are committed to ...

Research Assistant

Georgetown, TX · On-site

$18 - $24.50/hr

Must have knowledge of Microsoft Office Word, Microsoft Excel, Internet Explorer, Google Chrome ... Summit Clinical Research Solutions is an equal opportunity employer. All applicants will be ...

CPU Power Modeling Engineer

Austin, TX · On-site

$122K - $161K/yr

Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster ...

Conducts keyword research, negative keyword maintenance, audience refinement, and bid adjustments ... Monitors Google Tag Manager, conversion tracking, and Google Analytics configurations to ensure ...

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Google Research information

See Texas salary details

$27.9K

$54.7K

$88.5K

How much do google research jobs pay per year?

As of Aug 27, 2026, the average yearly pay for google research in Texas is $54,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $65,200.00 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 Texas?

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

Infographic showing various Google Research job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $54,731 per year, or $26.3 per hour.

Staff Network Security Engineer, Google Enterprise Network

Google

Austin, TX • On-site

$103K - $141K/yr

Full-time

Re-posted 20 days ago


Google rating

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


Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Sunnyvale, CA, USA.
Minimum qualifications:
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  • 10 years of experience with network routing protocols, design and troubleshooting, with network equipment providers.
  • Experience with planning and designing networks (e.g., multiple sites, multiple products, etc.).
  • Experience with network security, network security architecture, threat modeling, security assessment and security standards.

Preferred qualifications:
  • Experience working with and leading cross-functional teams from technical and non-technical backgrounds to drive positive security outcomes across large-scale organizations.
  • Experience developing security policies, standards, and controls with practical implementation experience across large-scale enterprise network environments.
  • Experience in security engineering, security assessment, vulnerability management, and threat modeling, with experience in automation and delivering organization-wide programs.
  • Experience developing architectural patterns with several reusable components to drive security at scale.
  • Experience in several domains such as network enterprise architecture, identity and access management, network security, application security, cloud security, or infrastructure security.

About the job
Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Google's complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies. Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services.
The Google Enterprise Network (GEN) Engineering team is responsible for designing the next generation network and software platforms that run Google's day-to-day business.
As a Staff Network Security Engineer, you will be responsible for the managing risks to GEN network hardware and software systems, developing automation and tools to enforce security policies, and partnering closely with customers, vendors team, network operations, and deployment teams to ensure the designs and solutions are safe, secure, efficient and address our user's requirements.
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: $176000 - $256000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Provide leadership and technical direction, driving cross-functional teams to achieve significant organizational impact.
  • Develop security framework, policies, standards and baselines for various infrastructures and network designs with the goal of uplifting security and reducing risks.
  • Conduct threat modeling and security assessments for various product, services, and offerings to help secure them while collaborating with the teams to develop solutions to help reduce overall risks.
  • Experience in developing network and software technologies, with an understanding of associated security risks to recommend risk remediation to both technical and non-technical audience.
  • Lead security programs and initiatives from inception to define roadmap, milestones, and impact, with consideration of resourcing, technical issues, and risks factors.

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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