Principal Engineer, CUDA UMD - GPU Kernel Scheduling
Nvidia
At a glance
AI generatedJoin our dynamic team as a seasoned system software engineer specializing in device drivers and C/C++. You will play a crucial role in enhancing the CUDA Driver, a critical component of our platform for accelerating general-purpose computation on GPUs. Your responsibilities include evangelizing new features, coordinating development efforts across multiple teams, and extending important CUDA programming models such as CUDA Graphs and MPS. Ideal candidates possess a BS or MS degree in Computer Science, Electrical Engineering, or related fields, with at least 8-10 years of relevant experience. You should have strong skills in parallel computing, particularly with CUDA, Linux systems software development, and excellent written and presentation abilities to drive projects successfully.
Skills
What you'll do
What we're looking for
Market check
This $184,000–$287,500 range sits above 80% of similar postings on FindRole.
Peer median band
$162,900–$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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