Senior System Software Engineer - Neural Graphics SDKs
NVIDIA
Job Overview
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Job Description
Senior System Software Engineer - Neural Graphics SDKs at NVIDIA
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 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.
Key skills/competency
- Neural Graphics
- SDK Development
- C++
- Python
- Distributed Systems
- Kubernetes
- Computer Graphics
- Computer Vision
- GPU Acceleration
- CI/CD
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight neural graphics, C++/Python, distributed systems, and SDK development experience.
- Showcase technical depth: Emphasize projects with real-time graphics, GPU acceleration, and computer vision algorithms.
- Prepare for system design: Expect discussions on scalable software, microservices, and CI/CD best practices.
- Demonstrate passion for AI: Articulate your interest in Physical AI and bridging simulation with reality.
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