# Software Engineering Intern, Neural Reconstruction and Rendering - 2027

Join NVIDIA’s Real2Sim team to turn real-world captures into accurate, editable simulation environments for robotics. You will develop and evaluate reconstruction and rendering methods that improve scene geometry, visual fidelity, and computational efficiency, contributing to workflows built around NVIDIA NuRec and Isaac Sim. What you’ll be doing Improve neural scene reconstruction through Gaussian optimization, sampling, and geometry-aware learning, addressing incomplete surfaces, artifacts, and challenging viewpoints. Explore surface extraction, material estimation, relighting, and generative refinement to make reconstructed environments more accurate and editable. Implement and optimize research methods in reusable reconstruction and rendering pipelines, collaborating with engineers to integrate results into NuRec and Isaac Sim workflows. Build reproducible experiments that measure geometric accuracy, novel-view quality, consistency across views and time, runtime, and GPU memory, and evaluate the impact on a selected robotics simulation use case. What we need to see Pursuing a master’s or doctoral degree in computer science, computer graphics, computer vision, robotics, or a rel

- **Id**: 4232018
- **Url**: <https://alion.io/job/nvidia-software-engineering-intern-neural-reconstruction-and-rendering-2027>
- **Role**: Backend
- **Role family**: Backend
- **Seniority**: intern
- **Employment type**: internship
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Shanghai, China
- **Countries**: CN
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-13T10:22:54Z
- **Employer posted date**: 2026-11-13
- **Last verified at**: 2026-11-13T10:22:54Z
- **Board verified**: yes
- **Days open**: 0
- **Description format**: text
- **Description chars**: 2276
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Processors, MCUs & AI Chips, Servers & Data Center Hardware, Computer Components, AI Chips & Accelerators

## Company

- **Id**: 6
- **Name**: NVIDIA
- **Domain**: nvidia.com
- **Url**: <https://alion.io/company/nvidia>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Workday

### Truth index

- **Grade**: B
- **Score**: 83
- **Open postings**: 751
- **Ghost share**: 0.024
- **Stale share**: 0.581
- **Repost share**: 0.057
- **Time to fill p50 days**: 43
- **Computed at**: 2026-11-12T10:38:37Z

## Technologies

- **C++** — Optional: no
- **Computer Vision** — Optional: no
- **CUDA** — Optional: no
- **Gaussian Splatting** — Optional: no
- **Isaac Sim** — Optional: no
- **Machine Learning** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **Slang** — Optional: no

## Trust

- **Level**: ok
- **Days open**: 0

## Requirements

- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: master
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-11-13T10:22:54Z

## Liveness

- **Score**: 86
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.86
- **P room**: 1
- **Age days**: 0
- **Expected fill days**: 43
- **Reasons**: conf:1, win:early, comp:junior,brand
- **Computed at**: 2026-11-13T12:13:58Z

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