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Senior Software Engineer, ML Networking

at Google

India Senior Posted 2026-04-21

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About this role

Understand capabilities provided by series of ConnectX (CX) network interface cards (NICs). Design features that integrate graphics processing unit (GPU)-to-GPU communication capabilities into the Google Cloud infrastructure. Code and implement the features that enable GPU-to-GPU communication on virtual machine (VM) families. Deliver virtual machine learning (ML) networking infrastructure enabling ML workloads to run in Google Cloud Platform (GCP). Enable GPU remote direct memory access (RDMA) networking for VMs and bare metal by exposing the NICs. Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++, Python, or Go. Preferred qualifications: Experience with software architecture, software engineering, networking protocols, network virtualization, or networking.

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