Software Engineer III, Cloud AI for Science, Full Stack

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.
• 2 years of experience with developing Large Language Models.
• Experience with agentic coding workflows.

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.

Google AI Science on Cloud is a collaboration between Cloud, DeepMind, Research, and Labs to accelerate scientific research and discovery by using advanced AI systems. Our goal is to establish Google as the essential platform for complex, high value problems in science, technology, and industry.

Our team’s role is to bring DeepMind / Research solutions to Cloud customers as mature products that are directly driving acceleration.

The team is responsible for the quality of our products, and works closely with customers to close feature and quality gaps they face in their various applications. The agentic coding revolution that has hit software engineering is quickly spreading to the world’s most valuable knowledge workloads - and we are working to directly shape this transformation.

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:

• Contribute to launching science agents such as Co-Scientist, AlphaEvolve, and other upcoming products for the scientific research community.
  
• Build scalable and flexible infrastructure to deliver smooth user experiences across our suite of products.
  
• Iterate on the quality of agents and tools so that they fulfill customers needs.
  
• Work with the various research teams involved, to drive future development and ensure a healthy feedback loop.
  
• Develop self-serve tools so that research teams can bring their own agents and UI components.