[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Search jobs](/search/) NVIDIA · China, Shanghai # MLOps Physical AI Data Intern - 2027 China, Shanghai Early career Data & Analytics Listed on NVIDIA’s official careers site. Posted October 13, 2026. Check that it is still open and apply there. [Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/MLOps-Physical-AI-Data-Intern---2027_JR2026544) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / MLOps Physical AI Data Intern - 2027 ## Job 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. 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. ## At a glance - Posted by the employer: Oct 13, 2026 - First seen by OpenNash: Oct 13, 2026 - Last checked: Oct 20, 2026 - Listed for: 7 days - Location: China, Shanghai[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/MLOps-Physical-AI-Data-Intern---2027_JR2026544) ## More jobs at NVIDIA ### [Machine Learning Engineer - Humanoid Robotics](https://jobs.opennash.com/companies/nvidia/jobs/d80fb255e624464c51e8/) China, Shanghai ### [AI Computing Development Intern, TensorRT-LLM - 2027](https://jobs.opennash.com/companies/nvidia/jobs/32e91cd6299045deeb27/) China, Shanghai ### [AI Developer Intern — Interconnect Hardware Frontend, 2027](https://jobs.opennash.com/companies/nvidia/jobs/e8d26a994becc2139e6e/) China, Shanghai ### [AI Infra Development Intern - 2027](https://jobs.opennash.com/companies/nvidia/jobs/843d7d29816cd15cd2d5/) China, Shanghai ### [ASIC Design Engineer, Clocks](https://jobs.opennash.com/companies/nvidia/jobs/bba710d2899935021389/) China, Shanghai ## Similar jobs at other companies ### [Principal Platform Architect – Physical AI Data & Runtime Platform, Kitchener, ON](https://jobs.opennash.com/companies/siemens/jobs/2798e5ffbf376001b9cb/) Siemens ### [Robotics Engineer, Teleoperation and Data Collection - Physical AI Hub, Kitchener](https://jobs.opennash.com/companies/siemens/jobs/9c2a6355ab115ae555d9/) Siemens ### [Senior Engineer, Agentic AI & MLOps Engineering (5-8 years)](https://jobs.opennash.com/companies/sandisk/jobs/c7dda8644309917a9e55/) Sandisk ### [Manager 3, AI Science (MLOps, AI, Data Science)](https://jobs.opennash.com/companies/intuit/jobs/25ac22455bba5a60c779/) Intuit ### [Senior Data Engineer (Azure, Databricks & MLOps)](https://jobs.opennash.com/companies/vinci/jobs/3263ed80e16b5915d65d/) VINCI · Laren, Noord Holland, Nederland OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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