Senior System Software Engineer - Neural Graphics SDKs

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

API CI/CD @ 7 CUDA @ 4 Communication @ 6 Computer Vision @ 6 Distributed Systems @ 4 GPU @ 4 Kubernetes @ 4 Microservices @ 4 Python @ 6 Robotics

Details

NVIDIA's team builds the Omniverse NuRec SDK to enable robotics, healthcare, and autonomous vehicle developers to build better models faster through closed-loop validation and training grounded in real-world scenarios.

The role focuses on developing and maintaining NVIDIA's software ecosystem for neural graphics, including open-source platforms such as GSplat. The software will support developers working to bridge real-world environments and simulations.

Responsibilities

Implement, validate, release, and maintain SDKs, APIs, and libraries for neural reconstruction, including open-source projects such as GSplat.
Influence software architecture, validation strategy, and technical roadmaps.
Ensure outstanding usability for developers working across research and large-scale production environments.

Requirements

Master's degree in Computer Science, Electrical Engineering, or equivalent experience.
At least 5 years of practical experience.
Track record of developing and maintaining developer-focused, production-grade software for computer graphics or computer vision, such as game engines or rendering software.
Proficiency with Python and C++.
Strong software engineering fundamentals, including source control, CI/CD, testing and validation, packaging, containerization, and release processes.
Experience developing high-performance distributed systems, including microservices and Kubernetes.
Excellent written, visual, and verbal communication skills, including the ability to present architectural challenges, tradeoffs, and alternatives.
Curiosity and willingness to learn new technologies and collaborate across teams and functions.

Preferred Qualifications

Strong fundamentals in real-time graphics or other performance-critical domains.
Experience with GPU-accelerated software using CUDA, Slang, or shading languages such as GLSL, HLSL, or Metal for low-latency, high-throughput applications.
Algorithmic expertise in neural reconstruction, including NeRFs and Gaussian Splatting.
History of multidisciplinary creativity and innovation in software engineering across multiple problem domains.

Benefits

Equity and benefits are provided in addition to the base salary.
NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.