Staff Software Engineer, Local Ads Data Platform & AI

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Senior Software Engineer for the LVL Data Platform in Mountain View. You will help manage location and calls data across ads ecosystems, shaping serving and data infrastructure at scale.

The role emphasizes building robust back-end and front-end components, collaborating with teams across Google Ads networks, and applying AI to drive content and insights for advertisers.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 5 years of experience with full stack development (backend + frontend).
• 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Design, architect, and develop serving infrastructure for loading and indexing information in Ads.
• Leverage AI to generate new content for local businesses and determine which ad should serve.
• Work on projects spanning feature engineering, backend pipelines, low latency infrastructure, advertiser reporting, and production stability.

Skills

Full stack development

Software design

AI integration

Leadership in matrixed org

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Tools

Java

Python

Golang

C++

JavaScript/TypeScript

HTML/CSS

Job description

Google is seeking a Senior Software Engineer for the LVL Data Platform in Mountain View. You will help manage location and calls data across ads ecosystems, shaping serving and data infrastructure at scale.

The role emphasizes building robust back-end and front-end components, collaborating with teams across Google Ads networks, and applying AI to drive content and insights for advertisers.