MLOps Physical AI Data Intern

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