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Full Time Google Security Jobs (NOW HIRING)

Google

Software Engineer

Mountain View, CA · On-site

... full-time position is $149,400 - $211,000 15% bonus target equity benefits determined by role ... At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on ...

Google

Software Engineer Manager

Kirkland, WA · On-site

We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools ... The US base salary range for this full-time position is $239,200 - $300,000 20% bonus target equity ...

Google

Software Engineer

Sunnyvale, CA · On-site

At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on ... and security to ensure system quality and reliability * Collaborate with peers through rigorous ...

Google

Software Engineer

Mountain View, CA · On-site

At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on ... performance, and security to ensure system quality and reliability; * Collaborate with peers ...

Wiz, Inc.

AI Security Researcher

$160K - $220K/yr

Trusted by security teams all over the world, we have a proven track record of success and a ... Learn more about benefits at Google. The US base salary range for this full-time position is listed ...

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How much do full time google security jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for full time google security in the United States is $19.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.75 per hour, depending on experience, location, and employer.
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Software Engineer

Software Engineer

Google

Mountain View, CA • On-site

Full-time

Posted 23 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

38th of 202 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics or a related field and 2 years of experience in the job offered or in a Software Engineer-related occupation.
  • Position requires 2 years of experience in the following: Developing machine learning models using Tensorflow, PyTorch, or JAX. Applying machine learning, statistics, or diffusion model theory in applied research. Software development using Java, C, C , Python, or Go. Designing and applying data structures or algorithms. Data analysis and synthesis to generate solutions or evaluate outcomes for machine learning applications

About the job
The US base salary range for this full-time position is $149,400 - $211,000 15% bonus target equity benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google .
Position reports to the Google Mountain View, CA office & may allow for a hybrid schedule as per Google policy.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
  • Apply research to build next-generation features and solve high-impact problems by prototyping GenAI solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning.
  • Develop and test robust product code, performing comprehensive testing that includes integration, performance, and security to ensure system quality and reliability.
  • Collaborate with peers through rigorous design and code reviews to enforce best practices, improve system testability, and ensure overall efficiency and accuracy.
  • Triage and resolve complex system issues by debugging, analyzing root causes, and implementing solutions to optimize hardware, network, and service operations.
  • Create and maintain technical documentation and educational materials, adapting content based on product updates and user feedback to ensure clarity and relevance. Manage the full deployment lifecycle by contributing to system qualification, monitoring, process automation, and paying down technical debt to improve long-term scalability.

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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