Senior System Software Engineer - Neural Graphics Performance
NVIDIA · Santa Clara, CA · 1 wk ago
EngineeringFull-time
About the role
We are looking for a graphics performance engineer to push Gaussian Splatting (GSplat) and other accelerated libraries to peak performance, achieving full system utilization and occupancy while enabling our latest hardware capabilities. Your software will process vast amounts of data to bridge the gap between the real world and simulations. Join our team building the Omniverse NuRec SDK, which empowers robotic, healthcare, and autonomous vehicle developers to create better models faster through closed-loop validation and training grounded in real-world scenarios.
Responsibilities
- 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, validation strategy, and technical roadmaps to ensure outstanding performance.
Requirements
- 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.
Skills
- 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.
Pay
Base salary range: $152,000–$241,500 USD (Level 3) or $184,000–$287,500 USD (Level 4), depending on location, experience, and role level. Eligible for equity and benefits.