Senior Software Architect, Deep Learning and HPC Communications
Nvidia
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How this pay compares to similar roles
This role pays more than 99% of similar roles. Most pay $196,750–$266,375 — the shaded band above. At the midpoint, this role pays about $404k versus about $232k for comparable roles.
Based on 240 similar postings.
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Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 896 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.
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At a glance
The Distinguished Software Architect - Deep Learning and HPC Communications joins the GPU Communications Libraries and Networking team to co-design next-generation data center platforms. This role involves researching new communication technologies, expanding the GPUDirect portfolio, and designing features for communication libraries like NCCL, NVSHMEM, and UCX. The architect will propose hardware and software solutions, analyze technical models to drive changes based on quantitative data, and promote new communication technologies across application verticals. Key requirements include expertise in HPC, parallel programming models such as MPI and SHMEM, GPU architecture, CUDA, and high-performance networking including Infiniband and Ethernet. Candidates must possess proficiency in C or C++ for systems software development and deep knowledge of ML/DL fundamentals. The role addresses the critical challenge of optimizing communication performance across tens of thousands of GPUs connected via NVLink and PCIe.
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