Senior Software Engineer, Fabric Networking - GPU NVIDIA

5.0 - 9.0 years

0 Lacs

haryana

On-site

You will be part of NVIDIA's GPU Fabric Networking team as a Senior Software Engineer, contributing to the development of high-performance communication software for deep learning and HPC applications. Your responsibilities will include designing, developing, and maintaining system-level software to enable GPU-to-GPU communication. Collaborating with both hardware and software teams, you will work on creating next-generation networking solutions and contribute to the scalable and reliable GPU fabric architecture for large compute clusters. It will be essential to align the software development process with customer requirements and practical deployment environments. To qualify for this role, you should possess a degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. Additionally, you should have at least 5 years of professional software development experience. Proficiency in C/C++, along with strong debugging and system-level problem-solving skills, is required. Experience in developing software that interacts with hardware and device drivers, a solid grasp of system architecture, operating systems, and kernel internals, as well as a background in multi-threaded and distributed systems development are essential. Familiarity with Linux development is necessary, and knowledge of Windows is a plus. Moreover, a strong understanding of networking fundamentals and high-performance interconnects such as InfiniBand and Ethernet is expected. Experience with OS virtualization technologies like KVM, QEMU, or Hyper-V is beneficial. You should be comfortable working in a distributed team across various time zones. To excel in this role, you could distinguish yourself by having experience with the CUDA programming model and NVIDIA GPU architecture, understanding memory consistency and coherence models, and exposure to static/dynamic code analysis, fuzz testing, or fault injection techniques. Overall, this opportunity at NVIDIA offers you a chance to work on cutting-edge technologies in AI, high-performance computing, and visualization, contributing to advancements in various fields from scientific research to autonomous vehicles.,

Posted 2 days ago

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