Senior Software Engineer - Cloud AI and Machine Learning Infrastructure

Senior Software Engineer, Cloud AI/ML Infrastructure

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with full stack development, across the back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 3 years of experience in testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• Ability to build 0-to-1 team, and take a project from idea to production.
• Passion for building infrastructure to increase the velocity of Machine Learning (ML) development.
• Excellent collaboration skills and the ability to work with UX, PM, and front-end/back-end engineers.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 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 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.

The team provides the missing link between Artificial Intelligence (AI) researchers and product teams to ensure that the AI technology is used in Google products to drive real-world impact. The Generative AI (GenAI) feature suite includes specialized agents, advanced prompt optimization, generative evaluation, Generative Media (GenMedia), data synthesis, and fine-tuning and is evolving to keep pace with the changing ecosystem.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.

Responsibilities

• Build Agentic User Interface (UI) flows with full-stack opportunities for Large Language Models (LLM) journeys traversed by Alphabet product teams.
• Work with User Experience (UX) partners to create journeys that take otherwise complicated and fragmented AI workflows to make them simple, ergonomic, and coherent.
• Work with researchers and modeling/infrastructure experts to democratize AI techniques and make them accessible to novice and advanced users.
• Collaborate cross-functionally with User Experience Researcher (UXR), User Experience Designer (UXD), Product Managers (PM) to build intuitive end-to-end experiences for user journeys.
• Drive improvements to the end-to-end UX and UI technical stack to ensure we can move quickly while also providing a polished and intuitive experience for domains.

Experience Level

Senior Level