Senior Software Engineer, Fabric Networking - GPU

As a skilled Senior Software Engineer at NVIDIA's GPU Fabric Networking team, you will be responsible for designing, developing, and maintaining system-level software to support GPU-to-GPU communication. Your role will involve collaborating with cross-functional hardware and software teams to build next-generation networking solutions. Additionally, you will contribute to scalable and reliable GPU fabric architecture for large compute clusters while aligning software development with customer needs and real-world deployment environments. Key Responsibilities: - Design, develop, and maintain system-level software for GPU-to-GPU communication. - Collaborate with hardware and software teams to build next-generation networking solutions. - Contribute to scalable and reliable GPU fabric architecture for large compute clusters. - Align software development with customer needs and deployment environments. Qualifications Required: - Degree or equivalent experience in Computer Science, Electrical Engineering, or a related field (B.S., M.S., or Ph.D.). - 5+ years of professional software development experience. - Proficiency in C/C++ with strong debugging and system-level problem-solving skills. - Experience in developing software that interacts with hardware and device drivers. - Solid understanding of system architecture, operating systems, and kernel internals. - Background in multi-threaded and distributed systems development. - Experience with Linux development; familiarity with Windows is a plus. - Strong understanding of networking fundamentals and high-performance interconnects (e.g., InfiniBand, Ethernet). - Familiarity with OS virtualization technologies like KVM, QEMU, or Hyper-V. - Comfortable collaborating with a distributed team across different time zones. If you want to stand out from the crowd, you may have: - Experience with the CUDA programming model and NVIDIA GPU architecture. - Understanding of memory consistency and coherence models. - Exposure to static/dynamic code analysis, fuzz testing, or fault injection techniques.,