英伟达Software Engineer Intern, 2026
实习兼职地点：上海状态：招聘
工作描述
任职要求 • Pursuing a degree in Computer Science, Electrical Engineering, Artificial Intelligence or a related field. • Proficiency in Python in Unix and Windows environments, with strong fundamentals of software development. • Understanding of ML/DL techniques, algorithms and tools with exposure to CNN, RNN, Transformers (ViT, BERT, BART, GPT/T5, Megatron, LLMs). • Proven experience with crafting and implementing AI applications such as AI agents, RAG, MCP tools etc. • Understanding of MLOps life cycle and experience with MLOps workflows & traceability, curation …
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包括英文材料
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.
Unix+
[英文] The UNIX® Standard
https://www.opengroup.org/membership/forums/platform/unix
https://www.youtube.com/watch?v=IrDUcdpPmdI
UNIX is an operating system which was first developed in the 1970s, and has been under constant development ever since.
Windows+
[英文] Windows 10 Tutorial
https://www.tutorialspoint.com/windows10/index.htm
This tutorial gives you all the indepth information on this new operating system and its procedures.
RNN+
https://d2l.ai/chapter_recurrent-neural-networks/rnn.html
A neural network that uses recurrent computation for hidden states is called a recurrent neural network (RNN).
https://www.deeplearningbook.org/contents/rnn.html
Recurrent neural networks, or RNNs (Rumelhart et al., 1986a), are a family of neural networks for processing sequential data.
https://www.ibm.com/think/topics/recurrent-neural-networks
A recurrent neural network or RNN is a deep neural network trained on sequential or time series data to create a machine learning (ML) model that can make sequential predictions or conclusions based on sequential inputs.
BERT+
https://www.youtube.com/watch?v=xI0HHN5XKDo
Understand the BERT Transformer in and out.
GPT+
https://www.youtube.com/watch?v=kCc8FmEb1nY
We build a Generatively Pretrained Transformer (GPT), following the paper "Attention is All You Need" and OpenAI's GPT-2 / GPT-3.
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