Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another.
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.
Vertex GenAI - Infrastructure and Features team develops and scales the foundational inference serving infrastructure for Google's leading AI models, including Gemini, Imagen, and Embedding models. In this role, you will focus on building high-performance, distributed systems that enable efficient and scalable deployment of these models, reaching billions of users globally. Key initiatives include optimizing inference latency, maximizing throughput, and ensuring high availability for large-scale GenAI applications. You will work on critical areas such as performance optimization, distributed caching, and advanced resource management, driving solutions for high-scale AI problems.
Responsibilities
Minimum qualifications:
Preferred qualifications:
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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