Senior System Software Engineer - CUDA Chips
Nvidia
At a glance
AI generatedJoin our senior engineering team focused on enhancing the CUDA driver and runtime, critical components of our platform for accelerating general computation on GPUs across diverse workloads like deep learning and virtual reality. You will collaborate with peers to investigate performance bottlenecks, deliver robust solutions, and define future improvements to the CUDA APIs and programming model. Key responsibilities include evangelizing new features, overseeing development efforts, and analyzing full-stack performance from application level through hardware. Ideal candidates have a BS or MS in Computer Science or Electrical Engineering, 7+ years of relevant experience, strong C skills, and expertise in operating system interfaces and driver development for Windows, Linux, and macOS. Experience with performance tuning and optimizations across various CPU architectures is also beneficial.
Skills
What you'll do
What we're looking for
Market check
This $184,000–$287,500 range sits above 86% of similar postings on FindRole.
Peer median band
$158,450–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$172,400–$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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