Software Engineer III, Search

Software Engineer III, Search Location: Tokyo, Japan

Experience Level: Mid

Share

• Share Software Engineer III, Search
• Copy link
• Email a friend

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., C++ or Python).

Preferred qualifications:

• Bachelor's, Master's, or PhD degree in Computer Science or a related technical field.
• Experience building, maintaining, and scaling high-performance, data-intensive distributed backend systems and data processing pipelines.
• Experience with frameworks and tools relevant to AI/ML development, LLM inference, agent-based architectures, and generative AI deployment.
• Familiarity with event-driven architectures, content recommendation systems, search technologies, or information retrieval.
• Strong problem-solving abilities and a track record of thriving in ambiguous, fast-paced environments, and excellent communication skills with the ability to collaborate effectively across multiple specialized engineering and product teams.

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.

The AIGC Platform is the foundational infrastructure responsible for the entire lifecycle of AI-generated content (AI Overviews and AI Cards), including LLM-based topic ingestion, content clustering, summary generation, quality evaluation, and publishing. Our platform enables product teams to rapidly develop and experiment with new AI-first formats, transforming the Discover feed into a dynamic, AI-powered knowledge and entertainment companion. We ensure that AI-generated content is fresh, factual, grounded, and safely delivered to millions of users globally by integrating rigorous automated quality gates and efficient LLM agentic workflows.

By centralizing AIGC creation, we enable optimizing heavy compute resources and streamlining the pipeline from real-world events to personalized user feeds and notifications.

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.

Responsibilities

• Design, develop, test, deploy, and maintain robust and scalable backend infrastructure, data pipelines, and software solutions for the AIGC Platform.
• Build scalable, low-latency, and high-throughput streaming and batch data pipelines to handle massive content ingestion, clustering, deduplication, and publishing to serving indexes.
• Collaborate closely with cross-functional partners, including Product Managers, UX, Data Scientists, Quality teams, and downstream Ranking/Retrieval teams, to drive technical designs and unblock new AI content use cases.
• Analyze and optimize system performance, pipeline latency, monitor service health, and manage compute capacity to ensure operational excellence.
• Make independent technical contributions and deliver on end-to-end tasks within the platform's broader transformation goals.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.

Alphabet

Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Locations Location: Tokyo, Japan

Experience Level: Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within the relevant area.