Senior System Software Engineer - Neural Graphics...

• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

NVIDIA (Santa Clara, CA)

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!