阿里巴巴AI Infra测试开发工程师-存储方向
实习兼职阿里巴巴2027届实习生地点:成都 | 杭州 | 上海状态:招聘
工作描述
任职要求 1. 核心技术栈能力 • 具备 AI 全栈测试经验:熟悉 GPU 驱动、编译器、算子库、深度学习框架及容器化调度工具链的质量保障流程。 • 具备云产品、分布式系统测试经验优先,举例如: - 例1:深入理解块存储原理,有 iSCSI/NVMe-oF 或云盘类产品测试经验者优先; - 例2:熟悉 对象存储协议(S3/OSS),了解分片上传、生命周期管理及元数据性能调优; - 例3:精通高性能并行文件存储(如 Lustre, GPFS, CephFS, JuiceFS 等),理解客户端缓存、条带化策略及元数据服务器架构,有大模型训练数据存储优化经验者优先; 2. 测试设计与执行 • 擅长设计覆盖边界条件、异常场景(如节点宕机、网络分区、磁盘满、元数据风暴)的测试用例,确保系统在极端工况下的鲁棒性。 • 能够构建复杂的存算耦合场景,验证数据不同系统和内存等流转过程中的正确性与效率。 3. 性能分析与调优 • 熟练使用专业工具(iostat, fio, perf, nvprof, Nsight Systems 等)进行全链路性能剖析。 • 能够独立输出数据驱动的性能瓶颈分析报告,针对 IO 等待、元数据延迟、带宽饱和等问题提出具体的架构或参数优化建议。 4. 精度与一…
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包括英文材料
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
分布式系统+
https://www.distributedsystemscourse.com/
The home page of a free online class in distributed systems.
https://www.youtube.com/watch?v=7VbL89mKK3M&list=PLOE1GTZ5ouRPbpTnrZ3Wqjamfwn_Q5Y9A
S3+
https://aws.amazon.com/s3/getting-started/
You can use Amazon S3 to store and retrieve any amount of data at any time, from anywhere.
https://www.youtube.com/watch?v=tfU0JEZjcsg
Amazon S3 is the oldest and one of the most popular services on AWS.
性能调优+
https://goperf.dev/
The Go App Optimization Guide is a series of in-depth, technical articles for developers who want to get more performance out of their Go code without relying on guesswork or cargo cult patterns.
https://web.dev/learn/performance
This course is designed for those new to web performance, a vital aspect of the user experience.
https://www.ibm.com/think/insights/application-performance-optimization
Application performance is not just a simple concern for most organizations; it’s a critical factor in their business’s success.
https://www.oreilly.com/library/view/optimizing-java/9781492039259/
Performance tuning is an experimental science, but that doesn’t mean engineers should resort to guesswork and folklore to get the job done.
缓存+
https://hackernoon.com/the-system-design-cheat-sheet-cache
The cache is a layer that stores a subset of data, typically the most frequently accessed or essential information, in a location quicker to access than its primary storage location.
https://www.youtube.com/watch?v=bP4BeUjNkXc
Caching strategies, Distributed Caching, Eviction Policies, Write-Through Cache and Least Recently Used (LRU) cache are all important terms when it comes to designing an efficient system with a caching layer.
https://www.youtube.com/watch?v=dGAgxozNWFE
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
Perf+
https://perfwiki.github.io/main/
perf is powerful: it can instrument CPU performance counters, tracepoints, kprobes, and uprobes (dynamic tracing).
https://www.brendangregg.com/bpf-performance-tools-book.html
This book can help you get the most out of your systems and applications, helping you improve performance, reduce costs, and solve software issues.
[英文] perf Examples
https://www.brendangregg.com/perf.html
These are some examples of using the perf Linux profiler, which has also been called Performance Counters for Linux (PCL), Linux perf events (LPE), or perf_events.
https://www.youtube.com/watch?v=M6ldFtwWup0
NVIDIA Visual Profiler+
https://developer.nvidia.com/nvidia-visual-profiler
The NVIDIA Visual Profiler is a cross-platform performance profiling tool that delivers developers vital feedback for optimizing CUDA C/C++ applications.
https://docs.nvidia.com/cuda/profiler-users-guide/
The user manual for NVIDIA profiling tools for optimizing performance of CUDA applications.
https://www.youtube.com/watch?v=F_BazucyCMw
https://www.youtube.com/watch?v=SI4UMz430ZU
This video tutorial has been taken from Learning CUDA 10 Programming.
Nsight+
https://developer.nvidia.com/tools-tutorials
NVIDIA Nsight™ Developer tools are a suite of tools for building, profiling, and debugging accelerated applications.
https://www.youtube.com/watch?v=aQ1NYoRvp7o
Profile Python for AI and deep learning applications with NVIDIA's suite of Nsight Developer Tools.
https://www.youtube.com/watch?v=Iuy_RAvguBM
Join NVIDIA’s Jackson Marusarz for an introduction to NVIDIA Nsight Compute, a tool for in-depth analysis of CUDA kernel performance on GPUs.
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.
pytest+
https://docs.pytest.org/en/stable/getting-started.html
The pytest framework makes it easy to write small, readable tests, and can scale to support complex functional testing for applications and libraries.
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