MLOps Data Platform Intern, Automotive - 2026 job opportunity at NVIDIA.

Home Jobs In China Tag: Automotive - 2026 MLOps Data Platform Intern, Automotive - 2026 position at NVIDIA


DateMore Than 30 Days Ago bot
NVIDIA MLOps Data Platform Intern, Automotive - 2026
Experience: General
Pattern: full-time
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Automotive - 2026

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degreePhD
loacation China, Shanghai, China
loacation China, Shangha..........China

NVIDIA’s Automotive division is building the next generation of AI and accelerated computing technologies for autonomous driving. Our   MLOps Data Platform   team designs large-scale data infrastructure powering Ground Truth (GT) generation, sensor fusion, and end-to-end AI workflows for global automotive partners. We are expanding our data platform globally to deliver GT data across regions and support diverse DNN networks for various OEMs. We're looking for a motivated   MLOps Data Platform 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. Assist in automating workflows for data validation, QA, and release, improving throughput and reliability across global operations. Collaborate with cross-functional teams (MLOps, MLE, Mapping, AI Research, Ops) to ensure consistent delivery of GT data worldwide. 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++. Understanding of   distributed systems,   data infrastructure, or   cloud computing   fundamentals. 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 using AI-assisted development tools   (e.g., Cursor, Copilot) for programming productivity. Experience in   data engineering,   MLOps, or   cloud-native   workflow orchestration. Prior exposure to   autonomous driving data,   computer vision, or   machine learning pipelines. Hands-on experience with project coordination, cross-region data delivery, or multi-team data operations. At NVIDIA, interns are integral to real-world projects that push the boundaries of AI and data infrastructure. You’ll gain hands-on experience in global-scale data operations, work with exceptional engineers, and play a role in enabling next-generation autonomous driving systems across the world.

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