Distinguished Software Architect - Deep Learning and HPC Communications
Nvidia
At a glance
AI generatedAs a Senior Software Architect on NVIDIA’s GPU Communications Libraries and Networking team, you will play a pivotal role in advancing the state-of-the-art by co-designing next-generation data center platforms and scalable communications software. Your responsibilities include identifying bottlenecks in current systems to improve communication performance, designing innovative solutions for hardware and software integration, and conducting experiments with large-scale GPU clusters. You will leverage C/C++ programming skills alongside experience with parallel programming models like MPI and SHMEM, as well as deep knowledge of operating systems and network architecture. This role demands expertise in high-performance networks such as InfiniBand and NVLink, familiarity with CUDA programming, and a solid understanding of AI and HPC workloads.
Skills
What you'll do
What we're looking for
Market check
This $184,000–$287,500 range sits above 79% of similar postings on FindRole.
Peer median band
$170,850–$262,600
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$196,412–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 801 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.
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