Senior Staff Software Engineer, Workspace Search Quality
Google · Bangalore
Collected role description
Role overview
Senior Staff Software Engineer, Workspace Search Quality at Google
Required qualifications
- Minimum qualification: Bachelor’s degree or equivalent practical experience.; 8 years of experience in software engineering with Information Retrieval (IR), Natural Language Processing (NLP) or Machine Learning (ML).; Experience with launching user-facing, large-scale, production quality systems.; Experience designing, implementing, and optimizing large-scale, high-performance, distributed search or quality systems in production environments.
Preferred qualifications and skills
- Preferred qualification: Experience with embedding-based retrieval, vector search, query understanding or Large Language Models (LLMs) applied to search/recommendation systems.; Experience mamaging system latency improvements (e.g., progressive loading, perfecting techniques, or bypassing post-retrieval latency overhead) and scalability enhancements.; Background in defining metrics, analyzing user-perception surveys, and running complex search experiments.; Good understanding of agentic architectures, tool-calling, Retrieval-Augmented Generation (RAG) grounding layers.; Exceptional collaboration and communication skills, with a proven ability todrive technical alignment with cross-functional stakeholders and navigate competing priorities.
Employment details
- Location: Bengaluru [Karnataka] [India]
Application details
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About the employer
- Google is proud to be an equal opportunity and affirmative action employer.
- 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.
- Please do not forward resumes to our jobs alias, Google employees, or any other organization location.
Additional role details
- 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 .
- If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
- To all recruitment agencies: Google does not accept agency resumes.
- Google is not responsible for any fees related to unsolicited resumes.
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Collected minimum qualification
Bachelor’s degree or equivalent practical experience.; 8 years of experience in software engineering with Information Retrieval (IR), Natural Language Processing (NLP) or Machine Learning (ML).; Experience with launching user-facing, large-scale, production quality systems.; Experience designing, implementing, and optimizing large-scale, high-performance, distributed search or quality systems in production environments.
Collected preferred qualification
Experience with embedding-based retrieval, vector search, query understanding or Large Language Models (LLMs) applied to search/recommendation systems.; Experience mamaging system latency improvements (e.g., progressive loading, perfecting techniques, or bypassing post-retrieval latency overhead) and scalability enhancements.; Background in defining metrics, analyzing user-perception surveys, and running complex search experiments.; Good understanding of agentic architectures, tool-calling, Retrieval-Augmented Generation (RAG) grounding layers.; Exceptional collaboration and communication skills, with a proven ability todrive technical alignment with cross-functional stakeholders and navigate competing priorities.
Collected experience requirement
8 years of experience in software engineering with Information Retrieval (IR), Natural Language Processing (NLP) or Machine Learning (ML).