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Job Description:
Arm is hiring a Senior Software Engineer – Networking for AI in Bangalore, Karnataka, India to design, develop, test, and optimize high-performance networking software for AI frameworks running on Arm platforms. The role is part of the Infrastructure Application Solutions (IAS) Networking team and involves working with advanced development platforms, software models, FPGAs, and early silicon technologies. Candidates should have 5+ years of experience in software development, optimization, software validation, or test automation, along with strong C/C++ programming, knowledge of multicore processor architectures, and low-level systems. The position also focuses on networking software testing, CI/CD automation, open-source development, software quality, and Git-based version control. Experience with DPDK, VPP, Snort, RoCE, libFabric, OpenMPI, NCCL, OneCCL, PyTorch, SDN, Kubernetes, and CNIs is an advantage. This opportunity is ideal for engineers interested in AI networking, cloud infrastructure, Arm systems, high-performance computing, and next-generation networking technologies.
About Company:
Arm is a global technology company specializing in processor architecture, CPU technology, system IP, semiconductor technology, and computing platforms. Arm technology supports a broad ecosystem of partners and is used across AI data centers, cloud infrastructure, networking appliances, mobile computing, automotive, embedded systems, and consumer technology. Arm focuses on developing energy-efficient and high-performance computing technologies that enable the next generation of digital products and infrastructure. In this position, engineers contribute to the growing AI networking and cloud infrastructure ecosystem, working with technologies such as high-performance networking, Arm platforms, networking software stacks, DPDK, VPP, RoCE, NCCL, OpenMPI, Kubernetes, SDN, CI/CD, and open-source software. The role provides opportunities to collaborate with global engineering teams, technology partners, and customers while working on networking technologies for advanced AI workloads.
