Software Engineer, Backend, Search

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in C++, or 1 year of experience with an advanced degree.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience in designing, building, and maintaining distributed systems or backend infrastructure.

• Master's degree or PhD in Computer Science or a related technical field.
• Experience in building, deploying, and monitoring production services.
• Knowledge of the full software development life-cycle, methodologies, and best practices.
• Knowledge on AI platforms, ML algorithms, LLMs, and generative AI.
• Ability to collaborate effectively in a changing, team-oriented environment.
• Ability to focus on reliability, scalability, and system performance.

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.

The mission of the Advanced User Understanding Infrastructure team (within Google Search Discover) is to develop next-generation infrastructures that leverage advanced and novel Machine Learning (ML) technologies, enabling an understanding of users to deliver optimal personalization recommendations for Search Discover products. We are dedicated to engineering reliable, efficient, and extensible systems, to support and scale technologies, empowering teams to rapidly iterate and deploy advanced ML personalization solutions.

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.

• Design, build, and maintain highly scalable, reliable, and extensible infrastructure that powers our next-generation personalization engine.
• Build and optimize data processing and ML models inferencing pipelines, enabling research and application teams to rapidly iterate, experiment, and deploy new solutions.
• Collaborate closely with Research Scientists, ML Engineers, and Product Managers to define requirements, bridge the gap between research and scalable production systems.
• Monitor, debug, and optimize the performance, latency, and resource efficiency of our large-scale distributed services.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.