3 days ago
Shanghai, ChinaIntern
Responsibilities
- Improve neural scene reconstruction using Gaussian optimization, sampling, and geometry-aware learning.
- Explore surface extraction, material estimation, relighting, and generative refinement for accurate and editable reconstructed environments.
- Implement and optimize research methods in reusable reconstruction and rendering pipelines.
- Collaborate with engineers to integrate results into NuRec and Isaac Sim workflows.
- Build reproducible experiments measuring geometric accuracy, novel-view quality, consistency across views and time, runtime, and GPU memory.
- Evaluate methods in a selected robotics simulation use case.
Requirements
- Pursuing a master’s or doctoral degree in computer science, computer graphics, computer vision, robotics, or a related field.
- Strong Python and PyTorch skills, including implementing, training, and debugging research models on GPUs.
- Hands-on research or project experience in 3D Gaussian Splatting, neural rendering, multi-view reconstruction, or related methods.
- Solid foundations in 3D geometry, camera models, numerical optimization, and machine learning.
- Ability to reproduce research results, design controlled comparisons, analyze failure cases, and collaborate effectively with researchers and engineers.
- Preferred experience includes Gaussian sampling and densification, MCMC-based optimization, surface reconstruction and meshing, inverse rendering, relighting, generative priors, scene completion, C++, CUDA, Slang, differentiable rendering, GPU performance profiling, gsplat, 3DGUT/3DGRT, NuRec, OpenUSD, or Isaac Sim.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.