Drimva

Google

Staff Software Engineer, Ads and Commerce Advisor Platform

Mountain View, CA, USA · Staff · Full-time · Posted Oct 7, 2026

Experience
8 years in software development; 5 years testing and launching software products; 3 years in software design and architecture; 5 years leading ML design and optimizing ML infrastructure; 2 years with GenAI techniques or related concepts. Preferred: 8 years with data structures and algorithms; 3 years in technical leadership; 3 years in a complex, matrixed organization.
Education
Bachelor's degree or equivalent practical experience; preferred: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

About the job

Sets technical direction and builds Google Ads and Commerce’s full-stack agentic runtime for conversational and proactive AI experiences.

What you'll do

  • Own the orchestration runtime roadmap, including reasoning, tool calling, memory, agent protocols, and streamed responses.
  • Guide adoption of new models and inference APIs, and plan migrations while preventing regressions.
  • Mentor engineers, establish design and code review standards, and improve discovery, versioning, and governance of platform skills and tools.

What they ask for

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development; 5 years testing and launching software products; and 3 years in software design and architecture.
  • 5 years leading ML design and optimizing ML infrastructure.
  • 2 years with state-of-the-art GenAI techniques or GenAI-related concepts.

Nice to have

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years with data structures and algorithms; 3 years in technical leadership; and 3 years in a complex, matrixed organization involving cross-functional or cross-business projects.

Pay

$207000 - $300000 USD base salary

Tools

Gemini, LLMs, Multi-Modal, Large Vision Models

AI focus

Builds and operates an agentic runtime for conversational and proactive AI, including orchestration, model and inference API adoption, prompting, tool calling, memory, and ML infrastructure.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 5, 2026 (UTC)