2024 年「資訊科技產業專案設計」課程第 3 次作業

作業要求

自 IC 產業結構和軟體工程師的機會和《0 到 100 的軟體工程師面試之路》所及的公司對應的官方網站中，找出較符合自身興趣/規劃的職務描述 (即 JD [Job Description]，至少找出 3 份)

分析上述職缺所需要的能力，探討自己在專業上匹配的程度

嘗試列出上述職缺 (或類似的職缺) 的面試題目，可以是網路搜尋整理，也可以自行改寫。針對職缺，應包含自身條件的分析，諸如匹配的程度和羅列自認的優勢項目。

撰寫 resume

符合自身興趣/規劃的職務

Google Software Engineer, University Graduate, 2025

Job Description

Minimum qualifications:

Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
Experience in computer science, data structures, algorithms, and software design.
Experience in Software Development and coding in a general purpose programming language.

Preferred qualifications:

Master's degree or PhD in Computer Science or a related technical field.
Experience programming in C, C++, Java, or Python.
Experience with Unix/Linux or Windows environments, distributed systems, machine learning, information retrieval, and TCP/IP.

Responsibilities

Build our platforms, systems, and networking infrastructure using experience with distributed systems, OS/kernel, network system design, and large-scale storage systems.
Build internal systems used by Googlers globally.
Mitigate reliability failures in a component or system.
Create and support a productive and innovative team, including working with peers, managers, and teams.

工作內容

建構平台、系統和網路基礎架構，需具備分散式系統、作業系統/核心、網路系統設計和大規模儲存系統經驗
開發供 Google 員工使用的內部系統
解決系統元件的可靠性問題
建立並支援高效創新的團隊，與同事、主管和其他團隊合作

關鍵專業技能

分散式系統
網路架構

符合:

電腦科學學士學位或相關技術領域學歷，或同等實務經驗
具備電腦科學、資料結構、演算法和軟體設計經驗
具通用程式語言的軟體開發經驗
C、C++、Java 或 Python 程式設計經驗
Unix/Linux 或 Windows 環境經驗
機器學習相關經驗

不符合:

分散式系統、資訊檢索和 TCP/IP 相關經驗

NVIDIA GPU Firmware Engineer - New College Graduate

Job Description

What you'll be doing:

Be involved in the definition, architectural design, and development of security firmware for NVIDIA DGX products with an opportunity to craft its future.

Assist with defining and making sure software development process meeting security standards.

Perform security threat modelling for our software.

Design and/or make recommendations for security solutions that apply to the software to satisfy DGX/GPU server security guidelines and requirements.

What we need to see:

Bachelors or higher in electrical engineering, computer science, or computer engineering (or equivalent experience).

Have software design, development, analysis or equivalent experiences.

Experience in building and implementing secure software. Familiar with DMTF PLDM, MCTP, SPDM standards is a plus.

Background in embedded software development in Linux environment. Background with FreeRTOS. Background with security technologies: Root of Trust, etc.

Experience in threat modeling and modeling attack-vectors.

Background with SBIOS and BMC firmware is a plus. Strong programming skills in Ada/Spark, C/C++, algorithms, and data structures.

Strength being hands-on with development in addition to experience in software security. Deep understanding of computer architecture, operating system fundamentals.

A strong teammate; self-motivated with positive attitude with a motivation to learn, grow and build.

Ways to stand out from the crowd:

A successful candidate should be able to work independently and highly self-motivated. He or she should drive issues with little or no supervision.

A key success for this position is not only a thorough understanding of system architecture, security and software, but also solid grasp of system design, use case requirements and software stacks.

Excellent communication skills, flexible in task assignments and working under pressures are also indispensable for this candidate.

工作內容

參與 NVIDIA DGX 產品的安全韌體架構設計和開發
確保軟體開發流程符合安全標準
執行軟體安全威脅建模
設計符合 DGX/GPU 伺服器安全準則的解決方案

關鍵專業技能

韌體開發
系統安全

符合

電機、資工或計算機工程學士以上學位
具備軟體設計、開發和分析經驗
精通 C/C++ 程式語言

不符合

熟悉安全軟體開發
嵌入式 Linux 開發經驗
具備威脅建模能力
精通 Ada/Spark 程式語言
深入理解電腦架構和作業系統基礎
熟悉 DMTF PLDM、MCTP、SPDM 標準
FreeRTOS 經驗
SBIOS 和 BMC 韌體背景
系統設計和使用案例需求經驗

MEDIATEK 2025校招/研發替代役/應屆預聘正職_軟韌體開發_ AI&Computing Platform (新竹/台北)

Job Description

[2025年應屆碩士/博士畢業生適用，投遞履歷請附上大學/研究所成績單]

1.正在攻讀電腦科學、電腦工程或電機工程或相關工程領域碩士或博士學位。
2.具備一些這些語言的軟體程式設計技能（Python、C/C++、Java、JavaScript、SQL），並具備優化、性能分析和測試設計技能
3.提交履歷時請包含本科和研究生階段的學校成績單
4.熟悉機器學習、分散式計算、數據分析和LL開發者優先

符合

正在攻讀電腦工程碩士學位
具備 Python、C/C++、Java、JavaScript、SQL 等語言的軟體程式設計技能，並具備優化、性能分析和測試設計技能
熟悉機器學習、數據分析

不符合

熟悉分散式計算、LL 開發

Synology Product Developer (深度學習應用開發)

Job Description

部門介紹

Synology's product developers create cutting-edge products used by millions of users around the world. Our portfolio of data storage, networking, and surveillance products are powered by our own software solutions, giving us a unique edge in today's crowded market. We are looking for engineers that can make an impact, bringing in fresh ideas from different areas to help expand our team of high-energy developers.

職務說明

Video surveillance solutions are ubiquitous and vital in maintaining accountability in our society today. They can serve as silent witnesses to a scene, act as a deterrent, and often simply serve as a means to reassure a property owner. Synology has been consistently innovating in the field of video surveillance, leveraging our storage expertise to built robust, feature-rich, and cost-effective solutions that are overseeing countless locations today. You’ll be joining an experienced team to build our next generation products.

You will:

Create more capable video surveillance solutions using computer vision and deep learning techniques
Develop user-facing frontend applications using JavaScript
Optimize for performance and increase the reliability and capabilities of the entire system, whether through traditional or more creative techniques
Stay on top of cutting-edge machine learning developments and techniques

職務需求

You are expected to have:

Proficiency in C/C++, Python and JavaScript
Proficiency with at least one framework: PyTorch, or Tensorflow
Experience with or a strong understanding of computer vision and deep learning applications and processes
Experience with or a strong understanding of deep learning, CNNs, and inferencing
Familiarity with programming in Linux environments
Excellent communication skills and the ability to work well alone or as part of a team

We're targeting candidates with:

Experience with designing and implementing object detection, object tracking, or face recognition algorithms
Experience with concurrent programming / multi-threading techniques
Experience in developing real-time video analytics applications
Good understanding of Linux fundamentals and networking
Proficiency with TensorRT or OpenVINO inference engines
A fondness for automating everything and exploring new technical skills