Senior System Software Engineer - Neural Graphics Performance
Nvidia
At a glance
AI generatedAs a System Engineer at NVIDIA’s Omniverse NuRec SDK team, you will develop and maintain cutting-edge software for neural graphics, focusing on key open-source projects like GSplat. Your daily tasks include implementing, validating, releasing, and maintaining SDKs, APIs, and libraries to support developers in robotics, healthcare, and autonomous vehicles. You’ll influence the technical direction of these tools by shaping software architecture and validation strategies to ensure they meet the needs of diverse users from research to production environments. Ideal candidates have a Master’s degree or equivalent experience in Computer Science or Electrical Engineering, with 5+ years developing production-grade software for computer graphics or vision. Proficiency in Python and C++, along with strong skills in software engineering fundamentals like CI/CD and containerization, is essential. Experience with GPU-accelerated technologies such as CUDA and shading languages, as well as expertise in neural reconstruction algorithms, will set you apart.
Skills
What you'll do
What we're looking for
Market check
This $184,000–$287,500 range sits above 89% of similar postings on FindRole.
Peer median band
$138,900–$234,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,450–$217,725
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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