Staff Software Engineer, Agentic AI, Trust and Safety

Google LLC

Kirkland, WA

JOB DETAILS
SKILLS
Architectural Services, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Best Practices, Capacity Management, Cloud Computing, Communication Skills, Computer Science, Consulting, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Science, Data Storage, Disability Insurance, Distributed Computing, English Language, Equal Employment Opportunity (EEO), Event Management, Financial Services, Genetics, High Availability, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Internet Security, Internet of Things, Large-Scale Systems, Leadership, Life Insurance, Machine Learning, Mechanical Engineering, Mentoring, Natural Language Processing (NLP), Network Design, Network Operations Center, Operations Security (OPSEC), Production Systems, Project/Program Management, Recruiting/Staffing Agency, Regulatory Requirements, Risk Management, Sales Management, Software Engineering, Standards Development, System Architecture, Systems Administration/Management, Technical Leadership, Technical Strategy, User Interface Design
LOCATION
Kirkland, WA
POSTED
27 days ago

Staff Software Engineer, Agentic AI, Trust and Safety - Google Careers

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Staff Software Engineer, Agentic AI, Trust and Safety

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corporate_fareGoogleplaceKirkland, WA, USA

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XIn 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

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience with designing and implementing large-scale distributed systems.

  • 5 years of experience with machine learning (ML) infrastructure or another ML field.

  • Experience with architectural ownership for distributed systems or infrastructure components.

  • Experience building and deploying agentic AI systems.

Preferred qualifications:

  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.

  • Experience managing rapid technical iteration, 0->1 innovation, and managing deep technical ambiguity across multiple engineering organizations.

  • Experience defining organization-wide technical strategies, establishing engineering best practices, and mentoring Executive Engineers and Tech Leads.

  • Background in Trust and Safety, content moderation, security, or anti-abuse engineering at a global scale, managing billions of daily events or real-time streaming data.

  • Strong technical communication skills, with a proven ability to translate complex architectural trade-offs and AI capabilities into recommendations for cross-functional executives.

About the job

Google"s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will steer a high-performing engineering organization. You will architect fault-tolerant, and horizontally scalable solutions across the entire technical stack, ensuring user protection at Google scale.

You will grow in ambiguity, resolving cross-system friction and managing systemic risk across complex distributed networks. You will act as a massive multiplier: defining engineering standards, mentoring tech leads across the organization, enforcing operational excellence and driving cross-functional technical execution.

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

US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Define, advocate, and execute the overarching Trust and Safety technology roadmap, architecting next-generation AI/ML systems and highly reliable distributed infrastructure to automate and scale global user protection.
  • Oversee the integration of high-availability, low-latency production systems with stringent Service Level Objective (SLO) guarantees, driving excellence across system bottlenecks, data consistency, capacity planning, and cost-efficiency.
  • Steer critical, multi-team technical initiatives from initial abstract discovery through to large-scale deployment, translating high-level business goals into parallelizable engineering workstreams.
  • Define standards for fault-tolerant architectures while mentoring Tech Leads in industry best practices across code quality, CI/CD, comprehensive testing, and systemic technical debt reduction.
  • Partner closely with Product, Policy, and Data Science leadership to co-create the global technology stack, serving as a trusted advisor to executives and abstracting complex technical trade-offs for non-technical stakeholders.

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.

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