# MLOps Physical AI Data Intern

**Company**: NVIDIA
**Experience**: entry
**Job type**: internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/MLOps-Physical-AI-Data-Intern---2027_JR2026544?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3e5bc814-fbe

## Description

NVIDIA is building the next generation of AI and advanced data technologies for Physical AI. Our MLOps GT team designs large-scale data infrastructure, LLM models and agents powering Ground Truth (GT) generation, and end-to-end AI workflows for global automotive and robotic partners.

As an MLOps Physical AI Data Intern, you will contribute to the development of distributed data pipelines supporting large-scale GT generation and global data distribution. Your responsibilities will include:

- Supporting the integration of international datasets (vision, LiDAR, map, and sensor) for multi-region model development and validation

- Developing GT auto labeling, LLM models, and various AI Agents for global GT generation

- Designing tools for monitoring data quality, job status, and progress tracking within the global GT release pipeline

- Participating in continuous improvement initiatives for platform scalability, performance tuning, and workflow automation

To succeed in this role, you will need:

- A BS, MS, or PhD in Computer Science, Software Engineering, Data Engineering, or a related field

- Solid programming experience with Python and C++

- A good understanding of computer vision, AI agent development, LLM, and machine learning

- Analytical and problem-solving abilities, with an interest in large-scale AI data ecosystems

- Good communication and teamwork skills, especially for collaboration across global and multi-disciplinary teams

Preferred qualifications include:

- Proficiency in developing AI agents

- Experience in Physical AI data engineering or MLOps

- Prior exposure to autonomous driving data, computer vision, or machine learning pipelines

- Hands-on experience with Physical AI modeling, GT data processing

## Skills

### Required
- Python
- C++
- computer vision
- AI agent development
- LLM
- machine learning

### Nice to have
- Physical AI data engineering
- MLOps
- autonomous driving data
- GT data processing

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/MLOps-Physical-AI-Data-Intern---2027_JR2026544?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)