小鹏汽车大模型部署实习生
实习兼职地点：深圳 | 北京 | 上海状态：招聘
工作描述
任职要求 1、本科及以上学历，计算机、电子工程等相关专业； 2、熟悉 C++/Python，具备模型部署或推理优化经验； 3、熟悉至少一种推理框架：TensorRT / ONNX Runtime / MNN / TVM / vLLM； 4、有以下至少一项经验： - 模型量化（PTQ/QAT/混合精度）与精度-速度 trade-off 调优； - CUDA 编程与 GPU kernel 优化； - 嵌入式 NPU 部署（高通/联发科/NVIDIA Orin）； 5、理解 Transformer 架构和主流大…
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包括英文材料
学历+
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文，免费，零起点，完整示例，基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
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).
MNN+
https://github.com/alibaba/MNN?tab=readme-ov-file#intro
MNN is a highly efficient and lightweight deep learning framework.
vLLM+
https://www.newline.co/@zaoyang/ultimate-guide-to-vllm--aad8b65d
vLLM is a framework designed to make large language models faster, more efficient, and better suited for production environments.
https://www.youtube.com/watch?v=Ju2FrqIrdx0
vLLM is a cutting-edge serving engine designed for large language models (LLMs), offering unparalleled performance and efficiency for AI-driven applications.
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