Software Engineer III, Search, AI/ML

Googles 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. Were 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 Google Search, were 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, youll 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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Design, implement, and maintain robust, well-tested software across the entire development lifecycle to mitigate a full range of external and internal access-related security risks within Search.
• Contribute to the codebase by authoring technical design documents, participating in code reviews, and driving debugging and testing efforts to ensure high system reliability.
• Translate the teams high-level goals into actionable tasks, and align your daily work with quarterly objective and key results (OKRs) to deliver on project milestones alongside peer engineers, T/PgMs, and other stakeholders.
• Foster a collaborative, and safe environment by communicating effectively and supporting your peers, while bringing the AI fluency expected to your daily engineering workflows.
• AI fluency is an expectation in this role. Be prepared to discuss your knowledge and use of AI tools during the hiring process.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles 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 Googles 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.

Software Engineering, Artificial Intelligence (AI), Software Development, C++ Programming Language, Distributed Computing, Large-Scale Systems, Software Architecture Design, Computer Science, Information/Data Security (InfoSec), Privacy Controls, Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in C++.
• Experience in designing, building, or operating large-scale distributed systems.
• Experience in software architecture, system design, and full-cycle software implementations.

Preferred qualifications:

• Masters degree or PhD in Computer Science or related technical fields.
• Experience in data privacy, data protection, or secure data handling practices.
• Experience in policy compliance, regulatory frameworks, or governance.
• Experience in database querying, data extraction, and analysis using SQL.
• Experience in log analysis, system monitoring, and technical troubleshooting in large-scale or distributed environments.

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.