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• 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.
• 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection making), ML infrastructure, or in a related Machine Learning (ML) field.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures and algorithms.
• 1 year of experience with Artificial Intelligence (AI) deployments.
• Experience in deploying AI on Kubernetes clusters.
• Knowledge of managing Large Language Models (LLM) in compute configuration.
• Knowledge of working of AI and the requirements for managing AI inference in a cluster.

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 use the expertise in Go and Java to build and manage the platform that delivers the Vertex AI stack to external clouds. You will be responsible for the end-to-end delivery of features that deploy and manage Artificial Intelligence (AI) models like Gemini for the customers. 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.

• Deliver end-to-end features for Google Distributed Cloud (GDC) that deploy, manage the Gemini and other models.
• Deliver code and deploy into production.
• Build tests for code and automate running those tests.
• Code components to manage Kubernetes cluster in Golang.
• Add features to the management plane in Java.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.