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.
Key Responsibilities: 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.
Requirements: 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.
Nice to Have: 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.
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