NVIDIA
AI
SeniorSystemSoftwareEngineer-NeuralGraphicsSDKs
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior System Software Engineer - Neural Graphics SDKs at NVIDIA. Skills: System Software Engineering, Neural Graphics SDKs, Python, C++, high-performance distributed systems, computer graphics, computer vision. Implement, validate, release and maintain SDKs, APIs, libraries for Neural Reconstruction, including key Open Source projects like GSplat. Influence software architecture, validation strategy and technical roadmaps to ensure outstanding usability for our developers across many fields, fr”
What You'll Achieve.
ensure outstanding usability for our developers across many fields, from research to large-scale production use
Industry & Context.
architectural challenges, tradeoffs, and alternatives
What They're Looking For.
Must Have
Master's of Science in Computer Science or 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 (for instance 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), Excellent written, visual, and verbal communication to present architectural challenges, tradeoffs, and alternatives, Curiosity and drive to learn new technologies and partner across teams and functions
Nice to Have
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) for low-latency, high-throughput applications, Algorithmic expertise in neural reconstruction (NERFs, Gaussian Splats), History of multidisciplinary creativity and innovation around software engineering in multiple problem domains
What You'll Do.
release and maintain SDKs
libraries for Neural Reconstruction
including key Open Source projects like GSplat
Influence software architecture
validation strategy and technical roadmaps to ensure outstanding usability for our developers across many fields
from research to large-scale production use
How You'll Work.
Team & Collaboration
partner across teams and functions
Communication Scope
Excellent written, visual, and verbal communication to present architectural challenges, tradeoffs, and alternatives
Full Job Description
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. Do you obsess about software engineering? So do we! 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 'll be doing:** * Implement, validate, release and maintain SDKs, APIs, libraries for Neural Reconstruction, including key Open Source projects like GSplat. * Influence software architecture, validation strategy and technical roadmaps to ensure outstanding usability for our developers across many fields, from research to large-scale production use. **What we need to see:** * Master's of Science in Computer Science or 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 (for instance 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). * Excellent written, visual, and verbal communication to present architectural challenges, tradeoffs, and alternatives. * Curiosity and drive to learn new technologies and partner across teams and functions. **Ways to Stand Out from the Crowd:** * Strong fundamentals in real-time graphics or other performance-critical domains. * Experience in GPU-accelerated software w
Applying for this Senior System Software Engineer - Neural Graphics SDKs role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.