Founding Staff Software Engineer, Agentic Data Warehouse
Google San Jose, California, United States · $207K–$300K/yr
Software Development · 10,001+ employees
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About the role
You will pioneer an AI-native approach to data warehousing by building a 0-to-1 platform that bridges autonomous AI agents with planet-scale infrastructure. Responsibilities include prototyping AI-native methods, delivering system design, and collaborating across teams to integrate the Agentic Data Warehouse.
What they look for
Requirements
The role requires a minimum of 8 years of C++ programming experience and 5 years of experience in large-scale infrastructure or distributed systems. A bachelor's degree is required, while a master's or PhD is preferred along with technical leadership experience.
Benefits
Full description
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 5 years of experience testing, and launching software products.
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 3 years of experience with software design and architecture.
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.
- 3 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.
- Experience building agentic workflows, coding and data agents, structured agent skills, and evaluation harnesses.
About the job:
As a Founding Staff Software Engineer for the Agentic Data Warehouse (aDWH), you will pioneer a novel, AI-native approach to data warehousing at Google. Working within our core data intelligence team, you will help build a 0-to-1 platform that reimagines how data warehouses are created, governed, and utilized in the era of autonomous AI agents.
In this highly collaborative and direct role, you will co-develop a spec-driven architecture that translates natural-language investigative goals into structured, deterministic configurations. Your work will directly bridge autonomous AI agents with Google’s planet-scale production data infrastructure, ensuring high-quality, reliable, and hallucination-free data assets.
This is a unique opportunity to shape the future of data analytics infrastructure, blending modern AI-native engineering methodologies with decades of battle-tested distributed systems development.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google. Responsibilities:
- Explore and prototype AI-native methods, including spec-driven data development, semantic specification models, and agentic spec-to-config compilation.
- Contribute technical proposals, including novel product features, neuro-symbolic methodologies, and practical execution paths.
- Deliver detailed system design, production coding, and validation for the Agentic Data Warehouse Platform.
- Maintain code quality through thorough design and code reviews for production code and agent skills.
- Collaborate with engineers across storage, query, and pipeline components to integrate aDWH and prioritize feature requests.
