Software Engineer, NotebookLM, Backend

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 2 years of experience with software development in one or more general-purpose programming languages (e.g., C++, Java, Python, Go, Kotlin).
• 2 years of experience designing, developing, and deploying scalable backend services, APIs, and microservices.
• 1 year of experience with Generative AI concepts, including experience working with LLMs or other foundation models and their integration into production applications.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience with Kotlin in a production environment.
• Experience with full-stack development or front-end frameworks.
• Experience with cloud infrastructure and technologies (e.g., Google Cloud, Kubernetes) for deploying and scaling high-traffic services.
• Experience in performance optimization and reliability engineering for large-scale, high-growth systems.
• Experience taking projects or products from zero to one, demonstrating ownership and a focus on shipping novel features quickly.

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.

NotebookLM is a rapidly growing product within Google Labs. We operate in a fast-moving environment, focused on leveraging the latest AI breakthroughs to create powerful new tools. NotebookLM has experienced massive adoption, providing users with features that help them understand and create value from their information, including useful audio/video summaries and more. As part of this team, you will be at the forefront of AI product development at Google.

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 timeframes.

The US base salary range for this full-time position is $141,000-$202,000 + 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 and Implement scalable, reliable, and performant backend systems and APIs for NotebookLM, focusing on data processing, service integration, and business logic.
• Develop AI-centric features by integrating and optimizing the latest Generative AI models (e.g., LLMs) into the NotebookLM product pipeline, ensuring efficient model serving and data flow.
• Collaborate with Product, UX, and other Engineering teams through design and code reviews to ensure best practices for scalability, reliability, and security.
• Scale and optimize core infrastructure to support massive user growth, handling high-throughput, low-latency data access, and ensuring product reliability.
• Triage, debug, and resolve product or system issues across the backend stack by analyzing source code, system logs, and performance metrics.