System Software Engineer, Neural Graphics SDKs
at Nvidia
Posted 12 hours ago
No clicks
- Compensation
- $124,000 – $241,500 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Join NVIDIA's Neural Graphics SDKs team as a System Software Engineer to implement and validate features in SDKs, APIs, and libraries for Neural Reconstruction, including OSS projects like GSplat. You’ll participate in software release activities, bug fixes, and security patches to maintain high-quality tooling for developers. We’re looking for a candidate with a MS/BS in CS or EE and about 2 years of experience, strong Python and C++, and solid software engineering fundamentals. Nice-to-haves include 3D graphics/vision fundamentals, open-source contributions, and GPU-accelerated development with CUDA or shading languages.
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 and are a quick learner? We are looking for a driven and bold 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 and validate key features within SDKs, APIs, libraries for Neural Reconstruction, including Open Source projects like GSplat.
Participate to software release activities and maintenance (bug fixes, security patches) to ensure the highest software quality for our developers.
What we need to see:
Master's of Science in Computer Science or Electrical Engineering or Bachelor of Science (or equivalent experience).
2 years experience.
Proficiency with Python and C++.
Strong software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization).
Excellent written, visual, and verbal communication
Curiosity and drive to learn new technologies and partner across teams and functions. Almost everything we are doing is new!
Ways to Stand Out from the Crowd:
Strong fundamentals in 3D graphics or 3D computer vision.
Track record contributing to open-source or production-grade software.
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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
