Senior Software Engineer, Search Ecosystems, AI/ML

About the role

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

[https://www.google.com/about/careers/applications/benefits/].

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.