Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 7 years of experience building and developing scaled infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 5 years of experience with design and architecture, and testing/launching software products.
- Master's degree or PhD in Engineering, Computer Science, or a related technical field or equivalent practical experience.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience building graph neural networks, and graph algorithm libraries.
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About the job
Spanner Graph reimagines graph databases by uniting purpose-built graph capabilities with Spanner's industry-leading scalability, availability, and consistency. It provides users with native graph query, unified relational and graph models, built-in search capabilities, and AI-powered insights.We are seeking a passionate engineer who thrives in a fluid, startup-like environment. You will not only write code across the entire database stack but also play a key role in shaping our product vision and driving its success. Join us if you are driven by ownership, love complex technical challenges, and want to make a real world 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 $237,000-$337,000 + 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
- Graph and relational query language design, optimization and execution.
- Build predictive Graph Artificial Intelligence/Machine Learning (AI/ML) and graph algorithms.
- Innovate in the space of generative Artificial intelligence (AI) and knowledge graphs.
- Write user guides, references, and blog posts to facilitate product adoption.
- Oversee project execution, making sure they are worked on time with quality.