Senior Software Engineer, Infrastructure, AlloyDB Vector Search

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in C++.
• 3 years of experience designing and developing infrastructure or distributed systems.
• Experience designing and developing relational databases, database internals, information retrieval, query planning and execution.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
  
• 
  1 year of experience in a technical leadership role.
  
  
• Experience with generative AI, machine learning, and vector databases.
• Experience in applying machine learning to systems.
  
• Experience integrating with ML models to create vector embeddings.

Knowledge of LLMs, Vector embeddings, and RAG.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

On the AlloyDB Vector Search team, our mission is to be the industry-leading vector database for customers seeking to store vectors alongside their operational data and serve online queries at scale. This team operates in the database engine space, applying cutting edge research from search space into databases, and optimizing for extreme performance, scale and usability. This is a great role for someone who wants to innovate in the database space and looking for deep technical challenges and huge business impact.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 and test product or system development code.
• 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.