Senior Software Engineer, Search Ecosystems, AI/ML

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

Benefits offered by this job

Equity

Bonus potential

Benefits

Job summary

Google is seeking software engineers to advance next-generation search and GenAI infrastructure. You will work on scalable systems spanning information retrieval, distributed computing, and data storage, applying ML, AI, and NLP techniques to deliver impact at planetary scale.

Join a team that values versatility, leadership and curiosity, with opportunities to switch projects as the company grows. The role emphasizes collaboration across full-stack engineering and product teams.

Qualifications

• 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.

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 (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.

Skills

C++

Java

Information retrieval

Search infrastructure

Ranking systems

Data quality

Signal extraction

Data analysis

Data pipelines

Flume

Education

Bachelor's degree or equivalent

Master's degree or PhD in CS or related field

Tools

Flume

Spanner

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• 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.
• Experience developing accessible technologies.

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

Responsibilities

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 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 .