阿里巴巴达摩院-AI 软件栈工具链测试工程师-计算技术
社招全职3年以上技术-芯片地点：成都 | 北京 | 杭州 | 上海状态：招聘
工作描述
任职要求 必备能力 • 本科及以上，计算机/软件/电子相关；3 年+ 测试或系统验证经验。 • 熟悉 Linux（进程/权限/内核日志/网络/性能工具），具备排障能力（dmesg/journalctl/perf/strace 等）。 • 熟悉容器与 K8s：至少理解并能操作 DaemonSet/CRD/Admission/Webhook/RBAC/Node label/taint & toleration/device plugin 等机制。 • 有 GPU/异构/高性能系统测试经验（任一满足即可）：GPU 驱动/工具链、CUDA/ROCm 类生态、RDMA/NCCL 通信、算子性能/显存/带宽测试。 • 能编写自动化测试代码与工具脚本（Python/Go 至少一种），并能维护测试环境与流水线。 加分项（Preferred） • 有 GPU Operator / device plugin / container toolkit 相关测试或贡献经验。 • 熟悉可观测体系：Prometheus/Grafana/OpenTelemetry，懂 exporter 指标设计与验证方法。 • 有调试工具链经验：GDB、OpenOCD、DWARF、RSP 协议、多核调试；或有编译器/运行时 debug 信息链路相关经验。…
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包括英文材料
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
内核+
https://www.youtube.com/watch?v=C43VxGZ_ugU
I rummage around the Linux kernel source and try to understand what makes computers do what they do.
https://www.youtube.com/watch?v=HNIg3TXfdX8&list=PLrGN1Qi7t67V-9uXzj4VSQCffntfvn42v
Learn how to develop your very own kernel from scratch in this programming series!
https://www.youtube.com/watch?v=JDfo2Lc7iLU
Denshi goes over a simple explanation of what computer kernels are and how they work, alonside what makes the Linux kernel any special.
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
STrace+
https://opensource.com/article/19/10/strace
Trace the thin layer between user processes and the Linux kernel with strace.
https://www.youtube.com/watch?v=mBfurelWwPQ
In this video, we use the Linux strace command to trace Linux system calls.
Kubernetes+
https://kubernetes.io/docs/tutorials/kubernetes-basics/
This tutorial provides a walkthrough of the basics of the Kubernetes cluster orchestration system.
https://kubernetes.io/zh-cn/docs/tutorials/kubernetes-basics/
本教程介绍 Kubernetes 集群编排系统的基础知识。每个模块包含关于 Kubernetes 主要特性和概念的一些背景信息，还包括一个在线教程供你学习。
https://www.youtube.com/watch?v=s_o8dwzRlu4
Hands-On Kubernetes Tutorial | Learn Kubernetes in 1 Hour - Kubernetes Course for Beginners
https://www.youtube.com/watch?v=X48VuDVv0do
Full Kubernetes Tutorial | Kubernetes Course | Hands-on course with a lot of demos
Node.js+
https://liaoxuefeng.com/books/javascript/nodejs/index.html
从本章开始，我们就正式开启JavaScript的后端开发之旅。
https://www.youtube.com/watch?v=32M1al-Y6Ag
This is an intro to Node.js. No frameworks or libraries.
https://www.youtube.com/watch?v=zb3Qk8SG5Ms&list=PL4cUxeGkcC9jsz4LDYc6kv3ymONOKxwBU
In this Node JS tutorial I'll introduce to what exactly Node is all about, why we'd use it and the technologies you'll need to be familiar with to get started.
CUDA+
https://developer.nvidia.com/blog/even-easier-introduction-cuda/
This post is a super simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA.
https://www.youtube.com/watch?v=86FAWCzIe_4
Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning.
NCCL+
https://developer.nvidia.com/nccl
The NVIDIA Collective Communication Library (NCCL) implements multi-GPU and multi-node communication primitives optimized for NVIDIA GPUs and networking.
还有更多 •••
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