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Founding Staff Software Engineer, Agentic Data Warehouse

Google3,262 open roles

Where
San Jose, CA, USA
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Your applicationOpen nowFounding Staff Software Engineer, Agentic Data WarehouseGoogle · San Jose, CA, USA
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The clock on this job

Early applications get read.

8.5% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 27 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.5%7 days
  4. 15.4%14 days
  5. 34.1%30 days
This job: first seen 4 hours ago

Google median: 27 days open

The posting

In most instances, this position requires in-person interviews as part of the hiring process

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.
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