英伟达NIM Solution Architect
社招全职地点:广州 | 北京状态:招聘♡ 收藏
工作描述
任职要求 • 3+ years working experience with Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field • Proven experience in deploying and optimizing large language models • Proficiency in at least one inference framework (e.g., TensorRT, ONNX Runtime, PyTorch) • Strong programming skills in Python or C++ • Familiarity with main stream inference engines (e.g., vLLM, SGLang) • Experience with DevOps/MLOps such as Docker, Git, and CI/CD practices • Excellent problem-solving skills and ability to troubleshoot complex technical issues • Demonstrated ability to collaborate effectively across diverse, global teams, adapting communication styles while maintaining clear, constructive professional interactions Ways to stand out from the crowd: • Experience in architectural design for field LLM projects • Expertise in model optimization techniques, particularly using TensorRT • Knowledge of AI workflow design…
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包括英文材料
开发框架+
[英文] Understanding Modern Development Frameworks: A Guide for Developers and Technical Decision-makers
https://www.freecodecamp.org/news/understanding-modern-development-frameworks-guide-for-devs/
TensorRT+
https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/quick-start-guide.html
This TensorRT Quick Start Guide is a starting point for developers who want to try out the TensorRT SDK; specifically, it demonstrates how to quickly construct an application to run inference on a TensorRT engine.
ONNX+
https://github.com/onnx/tutorials
Open Neural Network Exchange (ONNX) is an open standard format for representing machine learning models.
[英文] Introduction to ONNX
https://onnx.ai/onnx/intro/
This documentation describes the ONNX concepts (Open Neural Network Exchange).
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