Senior Software Engineer, Search Ecosystems, AI/ML

Google LLC; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google LLC in Mountain View seeks a Senior Software Engineer for Search Ecosystems, AI/ML to advance information retrieval, large-scale data processing, and AI-driven search features.

You will work on distributed systems, embeddings, and data pipelines, collaborating across teams to deliver scalable solutions for billions of users. Strong coding in C++/Java and systems design are essential.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++ and Java.
• Experience in information retrieval, search infrastructure, ranking systems, data quality, or signal extraction for content evaluation.
• Experience with large-scale data analysis, building data pipelines (e.g., Flume), and applying statistical methods to solve problems.

Responsibilities

• Design and implement secure, scalable data ingestion pipelines that enforce strict access controls and copyright compliance for premium, rights-protected content across all GenAI serving surfaces.
• Optimize large-scale Retrieval-Augmented Generation (RAG) infrastructure, focusing on improving the latency, relevance, and computational efficiency of embedding generation and vector searches.
• Drive the end-to-end technical integration of the Expert Intelligence platform with flagship Google GenAI products, utilizing Spanner to ensure low-latency serving.
• Develop and scale distributed batch and streaming processing pipelines (using tools like Flume) to ingest, clean, and index terabytes of unstructured and semi-structured data.
• Provide technical leadership and mentorship to other engineers, guiding system architecture decisions and establishing best practices for LLM-backed infrastructure.

Skills

C++

Java

Information retrieval

Search infrastructure

Data analysis

Education

Bachelor’s degree or equivalent practical experience

Tools

Flume

Spanner

Job description

Senior Software Engineer, Search Ecosystems, AI/ML

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• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in C++ and Java
• Experience in domains related to information retrieval, search infrastructure, ranking systems, data quality, or signal extraction for content evaluation.
• Experience with large-scale data analysis, building data pipelines (e.g., Flume), and applying statistical methods to solve problems.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
  

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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Design and implement secure, scalable data ingestion pipelines that enforce strict access controls and copyright compliance for premium, rights-protected content across all GenAI serving surfaces.
• Optimize large-scale Retrieval-Augmented Generation (RAG) infrastructure, focusing on improving the latency, relevance, and computational efficiency of embedding generation and vector searches.
  
• Drive the end-to-end technical integration of the Expert Intelligence platform with flagship Google GenAI products (e.g., NotebookLM, Gemini Deep Research), utilizing Spanner to ensure low-latency and highly available serving.
• Develop and scale distributed batch and streaming processing pipelines (using tools like Flume) to continuously ingest, clean, and index terabytes of unstructured and semi-structured external publisher data.
  
• Provide technical leadership and mentorship to other engineers within a rapidly growing organization, guiding system architecture decisions and establishing best practices for LLM-backed infrastructure.
  

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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