Senior Software Engineer, CUDA UMD - Graphs and GPU Sharing
Nvidia
At a glance
AI generatedJoin our team as a seasoned system software engineer to work on the CUDA Driver, a critical component of our platform accelerating general computation on GPUs. You will collaborate closely with multiple teams to deliver innovative features and improvements that unlock new possibilities in deep learning, scientific computing, data science, self-driving cars, video games, and virtual reality. Your responsibilities include evangelizing, architecting, and implementing new CUDA Graphs functionality to enhance the efficiency of AI/ML workloads on GPUs. Ideal candidates possess a BS or MS degree in Computer Science, Electrical Engineering, or related fields, along with extensive experience in parallel computing, Linux systems software development, and maintaining programming models for high-level language support.
Skills
What you'll do
What we're looking for
Market check
This $272,000–$431,250 range sits above 98% of similar postings on FindRole.
Peer median band
$163,400–$242,600
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$182,125–$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 802 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.
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