Senior Staff Software Engineer, High Performance Networking, Platforms Infrastructure Engineering

Senior Staff Software Engineer, High Performance Networking, Platforms Infrastructure Engineering 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. The High Performance Networking (HPN) team's mission is to deliver scalable, state-of-the-art high-performance networking solutions to support a various range of high performance workloads for Google and Google Cloud. The HPN team is at the core of Google's AI infrastructure. We design, deliver, and sustain Google's end-to-end RDMA stack, comprising: Core IPU components and Linux kernel/Guest RDMA drivers. Industry-leading acceleration technologies such as TPUDirect, TPUDirect Storage (TDS), and GPUDirect Storage (GDS).As a Senior Staff Software Engineer, you will lead the evolution of this stack. You will drive the integration of the high-performance networking layers with industry-leading Parallel File Systems (PFS) and storage servers. Your technical leadership will directly shape the efficiency, scalability, and performance of Google's hyperscaler platform for next-generation AI/ML training and inference workloads.