Software Engineer III, Search AI Growth

Google

Mountain View, CA

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JOB DETAILS

JOB TYPE

Full-time, Employee

SKILLS

Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, C++ Programming Language, Communication Skills, Computer Science, Computer Skills, Computer Storage Hardware, Customer/Client Research, Data Storage, Debugging Skills, Design Document, Distributed Computing, Documentation, Ecosystems, Equal Employment Opportunity (EEO), Google Search Engine, Hardware Architecture, High Availability, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Java, Kotlin, Large-Scale Systems, Leadership, Modeling Languages, Natural Language Processing (NLP), Network Design, Presentation/Verbal Skills, Product Programs, Python Programming/Scripting Language, Software Development, Software Engineering, Storage Architecture, System Integration (SI), Team Player, User Interface Design, Writing Skills

LOCATION

Mountain View, CA

POSTED

7 days ago

Minimum qualifications:

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.

Preferred qualifications:

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.

About the job

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.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Company

Google

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