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Senior Software Engineer, GenAI GCP Security

Job in Kirkland, King County, Washington, 98034, USA
Listing for: Google
Full Time position
Listed on 2026-06-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 174000 - 253000 USD Yearly USD 174000.00 253000.00 YEAR
Job Description & How to Apply Below

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 per year (increased to 69 hours per 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:
Kirkland, WA, USA;
Sunnyvale, CA, USA

.

Minimum qualifications
  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • 5 years of experience programming in Python or C++.
  • 3 years of experience with machine learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, or debugging).
  • 1 year of experience with Generative AI (GenAI) techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or GenAI-related concepts (e.g., language modeling, computer vision).
  • 1 year of experience with software design, architecture, and machine learning.
Preferred qualifications
  • Master's degree or PhD in Computer Science, or a related technical field.
  • 5 years of experience developing cloud‑based storage systems.
  • 5 years of experience with data structures and algorithms in a data‑ML‑focused role.
  • 2 years of experience with security engineering, computer and network security.
  • Experience working on Google Cloud Platform (GCP).
About the job

Google Cloud’s mission is to make every business successful through AI by combining cutting‑edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI‑powered tools drive rapid development, rooted in a culture of empowerment and a bias to action.

In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $174,000 - $253,000 (USD) + 15% bonus target + bonus + equity + benefits

Responsibilities
  • Write and test product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Position Requirements
10+ Years work experience
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