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MLOps Physical AI Data Intern - 2027

NVIDIA· Intern
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Shanghai, ChinainternPosted 1w ago

About the role

MLOps Physical AI Data Intern to build, scale, and optimize NVIDIA's global GT data ecosystem for Physical AI, contributing to distributed data pipelines, multi-region data integration (vision, LiDAR, maps, sensors), GT auto-labeling, LLM models, AI agents, and global GT release monitoring.

Responsibilities

  • Contribute to the development of distributed data pipelines supporting large-scale GT generation and global data distribution.
  • Support the integration of international datasets (vision, LiDAR, map, and sensor) for multi-region model development and validation.
  • Develop GT auto labeling, LLM models, and a variety of AI Agents for the global GT generation.
  • Help design tools for monitoring data quality, job status, and progress tracking within the global GT release pipeline.
  • Participate in continuous improvement initiatives for platform scalability, performance tuning, and workflow automation.

Qualifications

  • Currently pursuing a BS, MS, or PhD in Computer Science, Software Engineering, Data Engineering, or a related field.
  • Solid programming experience with Python and C++.
  • Good understanding of computer vision, AI agent development, LLM and machine.
  • 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.

Skills

Required:PythonC++Compute Vision

Benefits

  • NVIDIA internship experience on real-world projects in Physical AI and autonomous driving systems.
  • Hands-on exposure to global-scale data operations and collaboration with engineers, scientists, and researchers.
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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