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Software Engineer, Infrastructure, Search Content Platform
2 weeks ago
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with Software Development, Search Infrastructure, Software Optimization or 1 year of experience with an advanced degree in an industry setting.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage or hardware architecture.
- Master's degree or PhD in Computer Science or related technical fields.
- 3 years of experience with software design and architecture,
- 2 years of experience with data structures or algorithms.
- Experience developing accessible technologies.
- 1 year of experience with LLM.
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.
Part of Search Platforms, (search content platform) SCP's mission is to understand and organize the world's content to power the best Search+ experiences. SCP brings together structured and semi structured knowledge, embeddings, and content from the web, feeds, images and videos, all organized and streamlined to enable the idea of "one standardized content platform that is bigger (and more valuable) than the sum of the parts, moving content in Search from a fragmented ecosystem with disparate sources into an organized, more standardized, distributed content platform.
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.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities- Write product or system development code and build parts of neural content retrieval roadmap. Design and implement data processing technical (AI-first) solutions at Google scale. Work in an environment with multiple partner stakeholders, navigating and streamlining ambiguity and engaging priorities.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- 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.
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.
