Senior Staff Software AI Engineer, Data Cloud Frontier AI

Google LLC

Seattle, WA

JOB DETAILS
SKILLS
Algorithms, Android, Architectural Services, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Artificial Intelligence (AI) Natural Language, Artificial Intelligence (AI) Programming Languages, Channel Strategies, Cloud Computing, Computer Science, Computer Vision, Cross-Functional, Data Modeling, Data Processing, Data Science, Data Storage, Data Structures, Debugging Skills, Disability Insurance, Distributed Computing, Embedded Systems, English Language, Equal Employment Opportunity (EEO), Establish Priorities, Genetics, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Large-Scale Systems, Leadership, Life Insurance, Matrix Management, Mechanical Engineering, Mentoring, Modeling Languages, Multiplatform/Cross-Platform, Natural Language Processing (NLP), Network Design, Network Operations Center, Operations Management, Product/Service Launch, Program Planning, Project/Program Management, Prototyping, Rapid Prototyping, Recruiting/Staffing Agency, Regulatory Requirements, SQL (Structured Query Language), Sales Management, Security Architecture, Software Administration, Software Development, Software Engineering, Supply Chain Management, Team Lead/Manager, Technical Leadership, Technical Strategy, Telecommunications, Test Plan/Schedule, Time Management, User Interface Design
LOCATION
Seattle, WA
POSTED
30+ days ago

Senior Staff Software AI Engineer, Data Cloud Frontier AI - Google Careers

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Senior Staff Software AI Engineer, Data Cloud Frontier AI

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corporate_fareGoogleplaceKirkland, WA, USA; Seattle, WA, USA; +2 more; +1 more

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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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.

Minimum qualifications:

  • Bachelor"s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience with design and architecture; and testing/launching software products.
  • 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Our Frontier AI team exists to answer one question: "What's next?" by building AI-native foundations that are trusted, flexible, and multimodal-making advanced intelligence as accessible as a SQL query.

As Senior Staff Software Engineer, you will define the technical trajectory and provide the architectural goal across Google Cloud Platform to realize the end-to-end foundations powering our autonomous agents.

The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Lead the technical discovery and implementation of agentic workflows that transform the Data Cloud into an autonomous, AI-native foundation.
  • Mentor a high-caliber team of engineers to balance rapid prototyping with the rigorous technical validation required for frontier AI capabilities.
  • Partner with co-innovation stakeholders to translate "frontier problems" into clear technical specs, ensuring AI agents can access precise context for high-quality business actions.
  • Balance immediate prototyping needs with long-term research goals, prioritizing high-leverage experiments that prove the value of embedded foundation models like Gemini.
  • Design and deploy multimodal analytics capabilities directly within the Data Cloud, making complex model reasoning as accessible and performant as a standard SQL query.

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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