Description
About This Role
NVIDIA is a world-leader in Gaussian Splatting and Neural reconstruction. Our team builds the Omniverse NuRec SDK to enable robotic, healthcare, and AV developers to build better models faster with closed-loop validation and closed-loop training grounded in real-world scenarios.
We are looking for a strong System Engineer to develop and maintain NVIDIA's software ecosystem for neural graphics, including key OSS platforms like GSplat. Your software will serve a booming community of developers eager to bridge the gap between the real world and simulations. Join our amazing team and help us build the future of Physical AI!
What You Will Be Doing
- Implement, validate, release and maintain SDKs, APIs, and libraries for Neural Reconstruction, including key Open Source projects like GSplat
- Influence software architecture, validation strategy and technical roadmaps to ensure outstanding usability for developers across many fields, from research to large-scale production use
What We Need to See
- MS in Computer Science, Electrical Engineering, or equivalent experience
- 5+ years of practical experience
- Track record developing and maintaining developer-focused, production-grade software for computer graphics or computer vision (e.g. game engines, rendering software)
- Proficiency with Python and C++
- Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release)
- Experience developing high-performance distributed systems (micro-services, Kubernetes)
Ways to Stand Out
- Strong fundamentals in real-time graphics or other performance-critical domains
- Experience in GPU-accelerated software with CUDA, Slang, or other shading languages (GLSL, HLSL, Metal)
- Algorithmic expertise in neural reconstruction (NERFs, Gaussian Splats)
The base salary range is $184,000 – $287,500 (Level 4) and $224,000 – $356,500 (Level 5). You will also be eligible for equity and benefits.