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Software Engineer, NotebookLM, Generative AI, Labs

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Google Inc.
Full Time position
Listed on 2026-05-21
Job specializations:
  • Software Development
    Software Engineer, AI Engineer, Machine Learning/ ML Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 207000 - 300000 USD Yearly USD 207000.00 300000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer, NotebookLM, Generative AI, Labs

Staff Software Engineer, Notebook

LM, Generative AI, Labs

Google place Mountain View, CA, USA

Qualifications
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
Preferred qualifications
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures/algorithms.
  • 8 years of experience with software development in Python or Kotlin.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
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.

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

Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google.

Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer time frames.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities
  • Design, write, run, and maintain robust evaluations specifically for Notebook

    LM Chat and Content Studio features.
  • Iteratively improve our evaluation infrastructure, including monitoring, logging, alerting, and experimenting.
  • Become an expert on the core Chat and Content Studio user experiences and their underlying model interactions.
  • Collaborate with product and engineering teams to define quality metrics and launch new evaluation flows.
  • Keep up-to-date on evaluation techniques for LLMs and generative content tools.

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.

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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