Senior Software Engineer, Data Cloud Frontier AI

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.
  

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.

The Data Cloud is evolving from a storage layer into a living engine for autonomous action. The Frontier AI team builds the AI-native foundations that make advanced intelligence accessible as a SQL query.

As a Senior Software Engineer, you will be a key driver of our technical execution. You will write high-impact code, lead critical project workstreams, and contribute directly to the roadmaps that bring our Gen AI products to life. This is a role for a builder who wants to solve frontier problems at scale while helping shape the future of the Data Cloud.

The US base salary range for this full-time position is $174,000-$252,000 + 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.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

• Partner with leadership to translate high-level roadmaps into high-quality code, ensuring the "Agentic Data Cloud" goal is realized through robust engineering.
• Take the lead on specific project modules—from design to deployment—driving progress and ensuring mission-critical components are shipped on time.
• Design and implement scalable software solutions that integrate frontier models like Gemini, ensuring they are performant and accessible.
• Maintain a high bar for technical quality through thorough peer reviews, documentation, and mentoring team members on best practices for large-scale systems.
• Identify, debug, and resolve intricate technical challenges within the AI-native foundation to ensure our services remain trusted and flexible.