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Software Engineer II, Retrieval Engine, Infrastructure

Google
1 day ago
Full-time
On-site
Zürich, ZH

JobsCloseBy Editorial Insights

Google is hiring a Software Engineer II for the Retrieval Engine, Infrastructure in Zurich onsite. The role resides on the Core team, building scalable information retrieval infrastructure that powers Google’s products and GenAI context windows. Basic qualifications include a Bachelor's degree or equivalent, at least one year of software development experience in languages such as Python, C, C++, Java or JavaScript, and one year each in data structures and algorithms and in infrastructure or machine learning. Preferred: Master’s degree and C++. To apply effectively, tailor your resume to highlight scale, reliability, and performance improvements, emphasize distributed systems and large data workflows, code review and documentation experience, and demonstrate leadership with concrete impact examples.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 1 year of experience with data structures and algorithms.
  • 1 year of experience with Infrastructure, Machine Learning.

Preferred qualifications:

  • Master's degree in Computer Science or a related technical field.
  • 1 year of experience with C++.

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.

Retrieval Engine's mission is to provide scalable, easy-to-use, information retrieval over all Google's data. It enables efficient, reliable, real-time retrieval over large-scale datasets containing multiple types of data, including embeddings, text, geo-locations, and numerics.

Retrieval Engine is used to power the worlds largest search engines such as google.com, YouTube.com and others and we're building infrastructure and quality systems that feed GenAI model's context windows with relevant information (example applications are Search AI Mode, Search AI Overviews, and Gemini).

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Write product or system development code; Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Improve the infrastructure and quality for Gemini, google.com, etc.
  • Work at the intersection of infrastructure (run efficiently at scale) and quality (return the best results).