Job description

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 . • 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. • 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. 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 distributed systems. • 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.

Requirements

Must-haves

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.
Learn more about benefits at Google .
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.
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.
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.
8 years of experience with distributed systems.
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.

Nice-to-haves

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience building agentic workflows, coding and data agents, structured agent skills, and evaluation harnesses.

Application prep

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Keywords to mirror

Platform: google
Effort: medium