Software Engineer III, Generative AI, AlloyDB

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in C++, or 1 year of experience with an advanced degree in an industry setting.
• Experience designing, implementing and operating infrastructure or distributed systems.
• Experience integrating with or building end-to-end Generative AI solutions, Large Language Models (LLMs) and related frameworks.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• Experience with performance analysis, debugging, and improving performance of distributed systems or low-level systems debugging.
• Experience working with database internals, specifically in query languages and features.
• Experience in code and system health, diagnosis and resolution, and software test developing.
• Experience with generative AI concepts (LLMs, diffusion models, etc.), development workflows, and use cases.

About the job

Google Cloud's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for developers 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 developer, 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 developers 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.

AlloyDB is unique due to its focus on innovation within the database and AI space, specifically working with cloud-native database technology and emerging generative AI.

In this role, you will emphasize on Natural Language Processing (NLP) to enable natural language support for SQL, as it involves challenges such as resolving ambiguity in natural language queries and translating them accurately into structured SQL commands.
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.

For US Applicants:

The US base salary range for this full-time position is $136,000-$200,000 + 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

• 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.
• Identify quality and scalability issues, propose and execute on large-scale improvements. Own all aspects of the development life-cycle for projects, from design, implementation, testing, monitoring, deployment, and enablement of customer-facing teams.