Senior Software Engineer, ML Infrastructure, Core Infra
Google · Sunnyvale, CA
About this role
Google is hiring a senior-level Infrastructure Engineer in the software engineering function based in Sunnyvale, CA. The posting calls out experience with Java, Kotlin, Reinforcement Learning, Machine Learning. Compensation is listed at $174,000–$252,000 per year.
- Role
- Infrastructure Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Sunnyvale, CA
- Posted
- May 13, 2026
More roles at Google
Job description
from Google careersGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Conversational Artificial Intelligence Core Infrastructure team's mission is to build infrastructure, tools, and features that enable delivering unified, efficient, scalable products with accelerated go-to-market.
In this role, you will build centralized infrastructure solutions and products for enabling conversational artificial intelligence product teams including agent assist, dialogflow, and insights to advance in compliance, customer onboarding and integrations, feature development, go-to-market, and scaling.