Senior Software Engineer, AI/ML, Search Ecosystems

Google; Mountain View (CA); On-site; USD 174,000 - 253,000; Full time

Job summary

Google is seeking a Senior Software Engineer in Mountain View, CA, to advance AI/ML-driven search ecosystems. You will design and deploy robust software for information retrieval atop large language models, collaborating with cross-functional teams and ensuring scalable, reliable systems.

The role emphasizes building premium AI-enabled features, optimizing data processing, and contributing to a fast-paced, innovative environment at Google.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development with Java and C++.
• 3 years of testing, maintaining, or launching software products; 1 year with design/architecture.
• 3 years of ML infrastructure (e.g., deployment, evaluation, optimization, data processing, debugging).

Responsibilities

• Design, build, and maintain robust, scalable software systems for information retrieval built on top of LLMs.
• Develop algorithms and evaluation models to retrieve high-value content; define quality signals.
• Navigate ambiguity in an early-stage initiative; Thrive in a fluid environment.
• Collaborate with engineers, product managers, and research teams across Google (Notebook LM, Play Books, Core Data, Search).
• Maintain code quality standards, reliability, engineering best practices, and documentation.

Skills

Java

C++

ML infrastructure

Software testing

Software architecture

Education

Bachelor’s degree or equivalent practical experience

Job description

Senior Software Engineer, AI/ML, Search Ecosystems

Location: Mountain View, CA, USA

Level: Mid

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in Java and C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures/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 this role, you will help establish a framework for integrating rights-protected, premium data—such as e-books and subscription-based scholarly archives—directly into Google's generative AI products, including NotebookLM or Gemini Deep Research, to connect consumers with experts. You will help connect the platform to these launch surfaces.

This is a collaborative effort that spans teams within Google. You will work with various cross-functional groups across the company to unlock AI capabilities from premium content.

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: $174,000 - $253,000 (USD) + 15% bonus target + equity + benefits. Learn more about benefits at Google.

Responsibilities

• Design, build, and maintain robust, scalable software systems and infrastructure for information retrieval built on top of LLMs.
• Develop and iterate on algorithms and evaluation models to retrieve high-value content, which includes defining and extracting quality signals.
• Thrive in a fluid environment and successfully navigate the ambiguity inherent in a new, early-stage initiative.
• Work closely with other engineers, product managers, and research teams across Google (such as Notebook LM, Play Books, Core Data, and Search).
• Maintain standards for code quality, system reliability, engineering best practices, and documentation.

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Google is proud to be an equal opportunity and affirmative action employer. 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.

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.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.