MLOps Physical AI Data Intern - 2027
英伟达（中国） · 转正未明 · 外企
面议
工作城市 上海岗位类型 实习实习分类 暑期未明确转正
内容来自「英伟达招聘」官方招聘页面 · 采集于 2026-11-03
岗位详情
岗位描述
- 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. We're looking for a motivated MLOps Physical AI Data Intern to help build, scale, and optimize this global data ecosystem while driving strong collaboration across engineering, operations, and research teams.
What You’ll Be Doing
- 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.
What We Need to See
- 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.
Ways to Stand Out from the crowd
- Proficient 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.
- At NVIDIA, interns are integral to real-world projects that push the boundaries of Physical AI. You’ll gain hands-on experience in global-scale data operations, work with exceptional engineers, scientists, and play a role in enabling next-generation autonomous driving systems across the world.