Job description

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: $174000 - $253000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . • 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. • 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). 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.

Requirements

Must-haves

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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
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.
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).
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).
5 years of experience with data structures/algorithms.
1 year of experience in a technical leadership role.

Nice-to-haves

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Master's degree or PhD in Computer Science or related technical field.
Experience developing accessible technologies.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: google
Effort: medium