Software Engineer III, Search AI Growth

Google•Mountain View, CA

About The Position

Google'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. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Requirements

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
2 years of experience programming in C++, Java, Python or Kotlin.

Nice To Haves

Master's degree or PhD in Computer Science or related technical fields.
Experience contributing to high-availability systems, data storage, or latency-sensitive applications, with an appetite for 0-to-1 development.
Experience in ML infrastructure, recommendation systems, behavioral classifiers, or Large Language Models (LLM)-driven features.
Experience building user-facing features with a focus on product growth, experimentation, and optimizing the end-user journey.
Ability to author clear design documents, debug complex cross-stack issues, and separately drive medium-to-large infrastructure from concept to launch.
Excellent verbal and written communication skills, with the ability to collaborate effectively across teams.

Responsibilities

Design and implement high-availability back-end serving and storage systems for the ecosystem. Build low-latency services to track quota usage and verify AI feature entitlements in real-time.
Lead cross-product area collaboration to integrate these systems with the Google One infrastructure.
Build the intelligence engine that drives awareness and adoption of Search's latest AI features.
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.