About the job

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.

In this role, you will build and develop Gemini Cloud Assist, a Google Cloud AI-powered cloud management product portfolio that transforms the experience of customers across all surfaces from learn, design, deploy, operate, investigate and optimize their applications, workloads and services. You will work in the rapidly evolving AI space with newer and powerful models, agent frameworks, protocols, and security while collaborating across Google Cloud and Google Deep Mind teams.

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 $147,000-$211,000 + 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.

• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

• Identify and prove the value of new GenAI features and solutions to advance the value of cloud assist.

• Lead initiatives on agentic framework, tooling, quality techniques to help scale multi-modal intent Design coverage across first-party and third-party services and workloads.

• Drive exploratory analysis of state of the modeling techniques, user engagement behaviors and product performance to discover important trends, product opportunities, and Google Cloud Assist (GCA) Design quality gaps.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.

• Experience with Applied AI, ML Infrastructure, ML or AI for products, or related fields.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.

• 2 years of experience with data structures and algorithms.

• Experience developing accessible technologies.