Senior Software AI Engineer, Data Cloud Frontier AI

Benefits

• 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

Preferred work locations:
Kirkland, WA;
Seattle, WA;
Sunnyvale, CA.

• 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).

• 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.

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 are 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. You will manage project priorities, deadlines, and deliverables and 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.

• 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.

US base salary range: $262,000-$365,000 plus bonus, equity, and benefits. Individual pay is determined by work location and other relevant factors.

Google is an equal opportunity workplace and 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.