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Google

Senior Software Engineer, GenAI, Expert Intelligence

Mountain View, CA, United States

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Job details

Posting language: English

Original 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 Java and C++.
1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Experience in fields related to data quality, information retrieval, ranking, search infrastructure, search quality, content evaluation, or signal extraction.
Experience with large-scale data analysis, data pipelines (e.g., Flume), and statistical methods.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures and algorithms.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.

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.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.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.

Build and maintain robust, scalable software systems and information retrieval infrastructure on top of Large Language Model (LLMs).
Design, develop, and iterate on algorithms to retrieve high-value content, extract quality signals, and build evaluation models.
Thrive in ambiguity and effectively navigate a fast-paced environment during the foundational stages of this new initiative.
Collaborate closely with cross-functional teams, including engineers, product managers, and research teams across Google (e.g., NotebookLM, Play Books, Core Data, Search).
Uphold high standards for code quality, system reliability, engineering best practices, and documentation.

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More about this job

Skills

Software development
Oracle Java
C++
Data analysis
Computer science
Distributed computing
Data storage
Natural language processing
UI design
Leadership
Research
Documentation

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