Google is looking to solve the problem of developing next-generation technologies that change how billions of users connect, explore, and interact with information and one another, specifically with the NotebookLM product within Google Labs, which aims to leverage the latest AI breakthroughs to create powerful new tools.
Requirements
- 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.
- 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.
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.
Other
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- Master's degree or PhD in Computer Science, or a related technical field.
- Ability to work in a fast-paced environment and demonstrate leadership qualities.
- Enthusiasm to take on new problems across the full-stack.
- Commitment to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
