Senior System Software Engineer, NCCL - Partner Enablement
Nvidia
At a glance
AI generatedJoin our communication libraries and network software team as a senior software engineer, where you will design, implement, and maintain highly-optimized runtimes for Deep Learning frameworks like TensorFlow and Pytorch on GPU clusters. You’ll contribute to parallel programming interface specifications such as MPI and OpenSHMEM, develop system software enabling interactions among GPUs and other components, and create proof-of-concepts to drive innovation in hardware and runtime designs. Ideal candidates have a strong background in C/C++ programming, Linux, computer architecture, and operating systems, along with experience in CUDA, high-performance networks like InfiniBand, and HPC applications. This role requires excellent collaborative skills and the ability to work effectively across diverse teams globally.
Skills
What you'll do
What we're looking for
Market check
This $152,000–$241,500 range sits above 76% of similar postings on FindRole.
Peer median band
$117,000–$209,315
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$139,050–$196,750
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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