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.

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