Shape Deep Learning communication performance at NVIDIA through C/C++ architecture, scalable runtimes, and next-generation platform co-design. Work spans AI and HPC systems. As a Senior Software Architect, you will advance communication technologies for large-scale GPU systems. The work combines performance analysis, software design, hardware and software co-design, and simulation. You will collaborate with GPU, networking, and software architects on platforms supporting Deep Learning and HPC workloads. Key Responsibilities:

Identify communication bottlenecks in current systems Design technologies accelerating AI and HPC workloads Explore hardware and software platform solutions Build proofs-of-concept and conduct experiments Simulate performance across large GPU clusters Requirements:

M.S. or Ph.D. in CS, CE, or equivalent experience Five-plus years of relevant experience Excellent C and C++ programming and debugging skills Experience with MPI, SHMEM, or communication runtimes Deep operating systems and computer architecture understanding Apply your C/C++, runtime, and systems expertise to scalable Deep Learning and HPC communications at NVIDIA.

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📌 Senior Deep Learning Communications Architect (Winnipeg)
🏢 2100 NVIDIA USA
📍 Winnipeg