Founding Staff Engineer: AI-Native Data Warehouse

Google LLC; San Jose (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC seeks a Founding Staff Software Engineer for the Agentic Data Warehouse (aDWH) to pioneer an AI-native data warehousing platform. You will co-develop a spec-driven architecture translating natural-language goals into deterministic configurations, bridging autonomous AI agents with Google’s planet-scale production data infrastructure.

The role emphasizes architecture leadership, collaboration across storage, query, and pipeline teams, and delivering production-grade system designs and

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.

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.

Skills

C++ programming

Software testing

Distributed systems

Software architecture

Education

Bachelor's degree or equivalent

Master’s or PhD in Engineering/CS

Job description

Google LLC seeks a Founding Staff Software Engineer for the Agentic Data Warehouse (aDWH) to pioneer an AI-native data warehousing platform. You will co-develop a spec-driven architecture translating natural-language goals into deterministic configurations, bridging autonomous AI agents with Google’s planet-scale production data infrastructure.

The role emphasizes architecture leadership, collaboration across storage, query, and pipeline teams, and delivering production-grade system designs and