Senior Software Engineer, Search Ecosystems, AI/ML

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

Job summary

Google is seeking a software engineer to design secure, scalable data ingestion pipelines and optimize retrieval infrastructure for GenAI serving surfaces. You will mentor engineers and drive end-to-end integration with flagship GenAI products, leveraging Spanner for low-latency serving.

The role emphasizes leadership, system design, and hands-on development across big data and AI platforms in a fast-paced environment.

Qualifications

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

Responsibilities

• Design secure, scalable data ingestion pipelines with strict access controls for copyright compliance.
• Optimize large-scale retrieval infrastructure, improving latency and vector search efficiency.
• Lead integration of Expert Intelligence with Google GenAI products using Spanner for low latency serving.
• Develop distributed batch and streaming pipelines to ingest and index terabytes of data.
• Provide technical leadership and set best practices for LL M-backed infrastructure.

Skills

C++

Java

Information retrieval

Large-scale data analysis

Data pipelines (Flume)

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Tools

Flume

Spanner

Job description

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

Learn more about benefits at Google.

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.