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# System Software Engineer - Neural Graphics Performance Organization

- **Company:** NVIDIA Ltd.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** 3D Rendering, Artificial Intelligence, Data Analysis, Systems Engineering, Computer Vision, C++ (Programming Language), Configuration Management, Nvidia CUDA, Computer Graphics, Continuous Delivery, Continuous Integration, Distributed Systems, Video Game Development, OpenGL Shading Language, Python (Programming Language), Software Architecture, Software Engineering, Verification and Validation (Software), Data Processing, Gaussian, HLSL, Information Technology, Low Latency, Data Management, Software Version Control
- **Published:** July 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-system-software-engineer-neural-graphics-performance-ca--6143d571-66a8-42b6-83e0-1fe12551ed6e

## About the Role

* Master's of Science in Computer Science or Electrical engineering (or equivalent experience).
 * 3 years of practical experience.
 * Strong fundamentals in real-time computer graphics. Expertise in GPU-accelerated software with CUDA, Slang, or other shading languages (GLSL, HLSL, Metal) for low-latency, high-throughput applications.
 * Expertise defining and driving performance metrics through profiling and benchmarking.
 * Proficiency with Python and C++.
 * Track record releasing production-grade software. Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release).
 * Excellent written, visual, and verbal communication to present performance challenges, tradeoffs, and architectural alternatives.
 * Curiosity and drive to learn new technologies and partner across teams and functions.

Ways to Stand Out from the Crowd:

 * Contributions to 3D game engines, graphics or computer vision SDKs.
 * Algorithmic expertise in neural reconstruction (NERFs, Gaussian Splats).
 * Experience developing high-performance distributed systems.
 * Grounding in mathematical fundamentals such as linear algebra, numerical methods, statistics, and exploratory data analysis.
 * History of multidisciplinary creativity and innovation around performance in multiple problem domains., 3D Rendering, Architectural Services, Artificial Intelligence (AI), Audiovisual, Benchmarking, CUDA (Compute Unified Device Architecture), Computer Graphics, Computer Science, Computer Vision, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Management, Data Processing, Distributed Computing, Electrical Engineering, Graphics, Healthcare, Linear Algebra, Mathematics, Performance Engineering, Performance Metrics, Presentation/Verbal Skills, Software Architecture, Software Engineering, Software Validation, Source Code/Configuration Management (SCM), Statistics, Systems Engineering, Technical Strategy, Validation Testing, Visual Communication, Writing Skills



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