Senior System Software Engineer - Neural Graphics Performance

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$152,000–$241,500 / yr
Posted
47 days ago
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k
This role $197k
$138k most similar roles pay here $278k

This role pays less than 60% of similar roles. Most pay $191,781–$236,900 — the shaded band above. At the midpoint, this role pays about $197k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

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 967 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 950 roles with salary data.

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At a glance

TL;DR · Senior System Software Engineer - Neural Graphics Performance

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As a graphics performance engineer at NVIDIA’s Omniverse NuRec SDK team, you will work on optimizing Gaussian Splatting and other accelerated libraries to achieve maximum system utilization. Your daily tasks include implementing and maintaining highly-optimized reconstruction and rendering algorithms using CUDA and Slang, optimizing data processing pipelines for low latency and high throughput, and influencing software architecture and validation strategies. Ideal candidates have a Master’s in Computer Science or Electrical Engineering with 3 years of practical experience, expertise in GPU-accelerated software development, proficiency in Python and C++, and a strong track record of releasing production-grade software. Additional skills such as contributions to 3D game engines, neural reconstruction algorithms, and high-performance distributed systems are highly valued.

Skills

CUDA Slang Python C++ CI/CD Git Docker HLSL Metal GLSL Neural reconstruction Gaussian Splats Linear algebra Numerical methods Statistics Linux Windows Performance profiling Benchmarking

What you'll do

  • Implement, validate, release, and maintain highly optimized reconstruction and rendering algorithms using CUDA and Slang.
  • Optimize data processing pipelines for low latency and maximum throughput.
  • Influence software architecture to ensure outstanding performance through validation strategy and technical roadmaps.
  • Define and drive performance metrics through profiling and benchmarking.
  • Release production-grade software with strong software engineering fundamentals.

What we're looking for

  • Master's degree in Computer Science or Electrical Engineering (or equivalent experience).
  • 3 years of practical experience with GPU-accelerated software using CUDA or Slang.
  • Expertise in real-time computer graphics, low-latency, high-throughput applications.
  • Proficiency in defining and driving performance metrics through profiling and benchmarking.
  • Strong track record of releasing production-grade software with excellent engineering fundamentals.
  • Excellent communication skills for presenting technical challenges and solutions.
  • Algorithmic expertise in neural reconstruction techniques like NERFs and Gaussian Splats.

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