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    --- tags: INFO2022 --- # 2022-11-08 課堂問答簡記 ## 作業三回顧 ### cantfindagoodname * Embedded System Software Development Engineer * 工作可以從工作地點着手 (武漢產業偏向生產汽車、電視,軟體可能會注重再電視投影上) * 可以分析同領域競爭對手公司的職缺 * 職缺描述過時 (發布超過一年)、且需要工作經驗 * 可能的產品 * TV (TCL) <- 投影 * [wifi direct](https://zh.m.wikipedia.org/zh-hant/Wi-Fi%E7%9B%B4%E8%BF%9E) (mobile <-> router <-> TV) * MiraScreen * 需求 * OS、wifi * 可能的問題 * 工具 (e.g. netperf) * 找的職缺最好集中再小部分領域中,不要太過分散 * 比較 domain specific 的內容可以事先做好功課,在面試時會比較有優勢 ## Google: [Yo Yi](https://www.linkedin.com/in/yi-yo-06822a1ab/) * 簡介自己成長歷程 * 台南二中(沒畢業) -> 成功大學 化工 (來 CSIE 修課) -> 台大資工 -> Google * 以自己在學校和 Google 的經驗,介紹系統軟體在產業的應用和需要度 * 過往 Linux 相關的作業 * Project 細節 (平常準備好開發紀錄 / 日誌) * 如何準備研究所,到了台大發現什麼 * 人脈 * 研究主題陌生 (AI compiler) * 發現要發展自己的專長 * 到 Google 工作之前,做了什麼準備 1. 考研時同步修 Jserv 的課 2. 每天準備/複習 8 小時 3. 學習的方法 / 方向很重要 * Google 面試流程 * 11~2 月 (5 關) * 每關都有 Code interview * 有第 6 關是 behavior question * 有遭遇加面(因為每關的表現不一) * 在不揭露公司的機密的情況下,介紹 Google 近期的職缺,以及學弟妹該如何準備 * [Software Engineer, Silicon](https://careers.google.com/jobs/results/89995286794904262-software-engineer-silicon/?_ga=2.81466132.283573557.1553602732-1113831015.1553602732&company=Google&company=YouTube) * 如何準備 * Speech 的主流處理方法 (Deep Learning) * 在 AI processor 上要如何運行 DL / ML Model * Speech 的新的 Paper / 方法 * E.g. Data input 到 AI processor 的流程 * 領域新的 Paper * 在拿到 offer 的時候有當完兵了嗎?還是他們願意等你當完兵? * 會,留職停薪 * 在 interview 時要先如實申報 * 想請問 Yo Yi 當初準備的心態和目標是怎麼設定的呢? `E.g. 成大化工 --> 台大資工、找工作的時候` * 面試前刷了幾題 * 1000 題(!? * 針對不熟悉的題目加強 * 放掉所有事情... * 刷題策略(題型、資料結構) * 隨機刷 * 面試前一個月開始刷 * 在研究未完成的情況下,要怎麼去回答自己的成果? * 將步驟、流程和目標表達清楚 * 不一定要有成果才去找工作,因為會太晚 * Experience in programming domain-specific accelerators, including GPU, TPU, or DSP. 具體 experience 是要到什麼程度? * 其他工作的面試經驗 * Synopsys 新思科技 (做 EDA 的公司) * 軟體架構 (design pattern) * 物件導向 (Object Oriented Programming) * MTK * 去年很容易進 * 主管(CPU 部門)有問很多 Linux 的問題 * 提早投 Intern 會比較 * 有轉正機會 * 今年到 12 月底 * 線上說明會在 11/11 下午,[LINK](https://careersonair.withgoogle.com/events/taiwan-campus-talk-2023) ## Amazon: [Yu-Chen Liu](https://www.linkedin.com/in/ztex-liu/) * 目前的在校生對校友去外商工作普遍有興趣,特別是你畢業後直接去 Synology 工作,隔年則去 Amazon,中間你做了什麼準備? * 只有大學文憑,對於找工作是否很吃虧?當初如何找工作? * 在 Synology 因為大學學歷問題會比別人少拿幾千。(Amazon 則沒有) * 簡介在大學時代的課程、研究,和人生規劃 * 109 級畢業,修課 180 學分 * 大二修滿電機的課,之後轉往資工來修課 * 在 Synology 的見聞 * 約待了 1 年 * NAS 公司 * OS 是基於 Linux 修改的,因為在大學有修 Linux Kernel 相關課程所以有加分 * 參考文章:[RAID 磁碟陣列是什麼?](https://www.linwei.com.tw/forum-detail/45/) * 台灣在 2020-2021 年度約 150 人,大部份都是 software * 台大交大的比例很高,成大只有不到 5 個 * 跳糟轉機 * 因為身邊的朋友來源和轉職的同事得知外商正在台灣擴編 * 如何準備 Amazon 面試,以及 Amazon 在台灣有什麼相關職缺 * 目前的職稱是 SDE(Embedded System Engineer),團隊的產品是 Ring 的 [doorbell camera](https://ring.com/doorbell-cameras) * 面試時除了職缺的相關內容要準備外,最好動手試試看 * 在沒辦法回答時可以引用相關 / 接近的經驗來回覆 * 英文面試 * Mark interview 很重要 * 面試準備 * 在 Synology 時利用下班後的時間來準備,約 2 個月 * 面試內容 * 5 關 * 會由不同關卡的人投票, 3 or 4 票以上才會通過 * 基本上都有 code interview * 題目:演算法、System Design Design Pattern * Amazon 職缺冷凍期為 **1 年** * 如果可以談 RISC-V,再搭配公開資訊,談為何 FAANG 一類的公司都有做硬體/加速器 * 我朋友在amazon實習,他說每一個月會固定開除1/10的人是真的嗎,要怎麼樣才能活下來 * Layoff 潮來臨 * 同場加映:[LayOff 統計器](https://layoffs.fyi/?utm_source=newsletter&utm_medium=email&utm_campaign=starrocket&utm_term=2022-06-22) * 面試前刷了幾題 * 2,30 題 * 但要刷得很透徹 * 對於正處於培養進階能力的階段的人,會建議準備好了再求職還是騎驢找馬嗎? * 騎驢找馬還是個不錯的策略,得失心會比較輕 * Amazon 職缺冷凍期為 **1 年** * 請問亞馬遜雲端部門主要開哪類型的職缺? * 現在在信義區 * Cloud Support 的缺比較多 * FPGA(Field Programmable Gate Array)使用的 SDK * 目前 AWS 也有在開發自己的 ARM 晶片 * E.g. Amazon EC2 A1 instances * Amazon jobs: https://www.amazon.jobs/en/ * 校招:[LINK](https://www.amazon.jobs/en/teams/jobs-for-grads?offset=0&result_limit=10&sort=relevant&country%5B%5D=TWN&distanceType=Mi&radius=24km&latitude=&longitude=&loc_group_id=&loc_query=&base_query=&city=&country=&region=&county=&query_options=&)

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