Software Engineer III, Full Stack, Cloud AI Developer Tools

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

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.
  

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.

Operating within the artificial intelligence (AI) Developer Tools organization, our team builds the vital client-facing applications that bring Google's artificial ntelligence (AI) capabilities directly into developers' daily workflows. In this role, you will be responsible for the end-to-end delivery, performance, and user experience of premier tools like Gemini Code Assist and the Gemini Command Line Interface (CLI).

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Responsibilities:

• Design, write, and test extensible code.
• Operate with high agency while transforming ideas into lightweight hypotheses, building raw prototypes, and demoing them early to gather feedback before scaling.
• Use artificial intelligence (AI) tools extensively in daily workflows.
• Explore tools to build product taste and user empathy.
• Collaborate with Technical Leads (Tech Leads) and Product Managers (PMs) to graduate experiments into production features, utilizing feature flags to measure real-world impact.