Senior System Software Engineer - Neural Graphics Performance

at Nvidia

📍 Santa Clara, United States

USD 152,000-287,500 per year

SENIOR

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
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.

Python @ 6 Statistics @ 4 CI/CD @ 4 Algorithms @ 4 Distributed Systems @ 4 Communication @ 4 Data Analysis @ 4 CUDA @ 4 GPU @ 4 AI @ 4 Computer Vision @ 4 Profiling @ 4

Details

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.

Love GSplat? So do we! We are looking for a graphics performance engineer to push Gsplat and other accelerated libraries to speed of light, achieving full system utilization and occupancy and enabling our latest hardware capabilities. Your software will run on incredible amounts of data to bridge the gap between the real world and simulations. Join our amazing team and help us build the future of Physical AI!

Responsibilities

Implement, validate, release and maintain highly-optimized reconstruction and rendering algorithms using CUDA and Slang.
Optimize data processing pipelines for low latency and maximum throughput.
Influence software architecture, validation strategy and technical roadmaps to ensure outstanding performance.

Requirements

Master's of Science in Computer Science or Electrical Engineering (or equivalent experience).
3 years of practical experience.
Strong fundamentals in real-time computer graphics.
Expertise in GPU-accelerated software with CUDA, Slang, or other shading languages (GLSL, HLSL, Metal) for low-latency, high-throughput applications.
Expertise defining and driving performance metrics through profiling and benchmarking.
Proficiency with Python and C++.
Track record releasing production-grade software. Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release).
Excellent written, visual, and verbal communication to present performance challenges, tradeoffs, and architectural alternatives.
Curiosity and drive to learn new technologies and partner across teams and functions.

Ways to Stand Out from the Crowd

Contributions to 3D game engines, graphics or computer vision SDKs.
Algorithmic expertise in neural reconstruction (NeRFs, Gaussian Splats).
Experience developing high-performance distributed systems.
Grounding in mathematical fundamentals such as linear algebra, numerical methods, statistics, and exploratory data analysis.
History of multidisciplinary creativity and innovation around performance in multiple problem domains.

Compensation & Benefits

Base salary range: 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. Base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits (see NVIDIA benefits page).

Additional Information

Applications for this job will be accepted at least until February 5, 2026.
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 is an equal opportunity employer.