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 systemsDesign technologies accelerating AI and HPC workloadsExplore hardware and software platform solutionsBuild proofs-of-concept and conduct experimentsSimulate performance across large GPU clustersRequirements:
M.S. or Ph.D. in CS, CE, or equivalent experienceFive-plus years of relevant experienceExcellent C and C++ programming and debugging skillsExperience with MPI, SHMEM, or communication runtimesDeep operating systems and computer architecture understandingApply 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 (Canada)
🏢 2100 NVIDIA USA
📍 Canada