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. We believe Generative AI (GenAI) inference will revolutionize our industry and we aim to make GKE the go-to platform for deploying these workloads. Large GenAI models present scaling and usability challenges with accelerators compared to traditional CPU workloads. As the creators of Kubernetes and with Google's extensive AI experience, we believe in GKE's ability to innovate in this space. We are looking for an ambitious, execution-oriented Software Engineers to help us make GKE the leading cost-effective, simplified, and fastest platform for running GenAI inference workloads. As a Software Engineer, you will joining the Inference Workload team, responsible for Gen AI Inference features, reliability and operations as well as simplifying and improving GenAI inference workload onboarding.
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Job Type
Full-time
Career Level
Mid Level
Industry
Web Search Portals, Libraries, Archives, and Other Information Services