轉職熱搜工作
您正在找韌體工程師的工作,共計6348筆職缺在等你,馬上去應徵吧!
-
Full-Stack Engineer/全端工程師 (Data Science & AI Team)
面議(經常性薪資達4萬元或以上) 40000元 新北市土城區 3~4年工作經驗<About this job> You will join an advanced artificial intelligence department as the need for Al model solutions rapidly grows. We are expanding our team and looking for a talented Full-Stack Engineer passionate about building highly interactive applications and scalable backend systems for various use cases and expanding their tech skillset in this world-class company. <Job Description> As a Full-Stack Engineer, you will play a crucial role in designing, developing, and maintaining both the frontend and backend of our applications. You’ll be responsible for creating user-friendly web interfaces, developing robust backend APIs, and ensuring seamless deployment and service integration. If you‘re proactive, team-oriented, have strong problem-solving skills, and enjoy building reusable and scalable code, we’d love to meet you! <Key Responsibilities> - Develop responsive and interactive frontend web applications using JavaScript and Vue.js. - Design and implement backend APIs to support frontend and other interfaces using Java, Python, and related technologies. - Build applications and schedule tasks based on client and project requirements. - Design and implement modular, high-flexibility components and scalable systems to maximize code reusability and adaptability. - Set up and configure essential services such as databases, NginX, and Docker environments. - Ensure smooth deployment processes by utilizing CI/CD concepts and automation. - Collaborate closely with team members to improve workflows and optimize the development cycle. <Required Skills> - Frontend: Strong proficiency in JavaScript and Vue.js with experience in building dynamic and interactive UIs. - Backend: Solid understanding of Java and Python for API development. - Databases: Experience working with SQL (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB). - Software Design: Proven expertise in creating modular, reusable code with high adaptability and flexibility for scalability. - Tools and Technologies: 。Docker and Git for containerization and version control. 。NginX for web server configuration and management. 。Familiarity with CI/CD concepts and automation techniques to streamline deployments. - Soft Skills: Strong communication skills and a team player, able to collaborate effectively across departments. - System Architecture: Understanding of distributed systems and hardware architecture concepts.展開 -
【DQE】I-AI人工智能算法工程師/主管
面議(經常性薪資達4萬元或以上) 1000000元 新北市土城區 工作經歷不拘1. 熟悉 CNN, GNN 等深度學習技術,能夠建立類神經網路模型 2. 熟練使用 PyTorch, Keras, TensorFlow 等機器學習框架進行建模工作 3. 負責模型的日常參數優化及程式運維管理 4. 與前端工程師合作,進行 API 串接及功能實現 5. 具備 GPT, BERT 等模型的基礎知識,並能應用於建模實踐 6. 英文流利優先 7. 能配合工作出差國外展開 -
Server-AC Power 電源測試工程師(土城)
面議(經常性薪資達4萬元或以上) 40000元 新北市土城區 2~3年工作經驗1. 待測系統架設/軟體/韌體安裝/升級 2. 伺服器(L10) PSU 輸出輸入電氣信號測試 3. 伺服器機櫃 Power shelf 輸出輸入電氣信號測試 4. 製作測試報告展開 -
高雄軟體園區-系統驗證工程師
面議(經常性薪資達4萬元或以上) 40000元 高雄市前鎮區 3~4年工作經驗Job Summary/Key Responsibilities . To design, develop, and integrate diagnostic software solutions for servers, storage, and AI accelerator platforms, enabling automated testing and efficient issue resolution in collaboration with hardware and firmware teams. · Design and implement diagnostic software for hardware platforms. · Develop automation tools and scripts for testing and validation. · Integrate diagnostics with production and lab environments. · Troubleshoot hardware and software issues with cross-functional teams. · Document diagnostic procedures, tools, and technical guides. · Evaluate and adopt new tools or technologies to enhance diagnostics.展開 -
-
AI Server-SIV訊號量測工程師 (土城)
面議(經常性薪資達4萬元或以上) 40000元 新北市土城區 工作經歷不拘1. 高/低速訊號完整性測試計畫 2. 訊號問題分析 3. 客戶溝通 4. 訊號量測技術研究與導入 1. High/Low speed signal validation 2. System HW validaion 3. High speed bus length review 4. System margin test 5. PCB impedance/insertion loss test展開 -
-
【HWTE】主板硬體測試工程師 (桃園)
面議(經常性薪資達4萬元或以上) 40000元 桃園市大園區 1~2年工作經驗1.工站設備準備(依生產計畫等資訊來估算設備與工站數量,執行採購申請與進度追蹤) 2.工站設備架設與維護 3.工站軟硬體驗証 4.相關報告生成(loop test/grr/cpk/yield report/daily report/FA tracker etc.) 5.生產問題排除 6.不良品問題分析追蹤 7.軟硬體及流程優化展開 -
*CABG-信號測試工程師 SI Validation Engineer (土城)
面議(經常性薪資達4萬元或以上) 40000元 新北市土城區 工作經歷不拘1. Server SI validation and report output 2. Support EE debug 3. Layout review 4. Project overall review展開 -
高雄軟體園區-全端網頁工程師
面議(經常性薪資達4萬元或以上) 40000元 高雄市前鎮區 3~4年工作經驗# About the Role: We are seeking a skilled Full Stack Engineer to join our development team. In this role, you will be responsible for building and maintaining robust and secure web applications. Our ideal candidate is proficient in TypeScript, experienced with React.js and NestJS, and comfortable working with Docker, GitLab CI/CD, MySQL, MongoDB, PostgreSQL, and Kubernetes. ## Requirements: - **3+ years of experience** in full stack development using TypeScript - **Strong proficiency in HTML5 and CSS3** for semantic markup and responsive styling - **Advanced CSS skills** including Flexbox, Grid, animations, and preprocessors (Sass/SCSS) - **Strong experience with React.js** for building modern frontend applications - **Familiarity with NestJS** or similar Node.js frameworks for backend development - **Solid understanding of RESTful APIs**, authentication, and authorization - **Experience with MySQL, MongoDB, and PostgreSQL** databases - **Solid understanding of Docker** containerization - **Familiarity with GitLab CI/CD** pipeline - **Experience with Kubernetes (K8S)** for container orchestration - **Proficiency in Linux environment** and command-line operations ## What You‘ll Do: - Develop and maintain full-stack web applications using modern technologies - Create semantic, accessible HTML structures and responsive CSS layouts - Implement pixel-perfect designs with cross-browser compatibility - Design and implement scalable backend services with NestJS - Build responsive and user-friendly frontend interfaces with React.js - Work with multiple database systems to ensure optimal data storage and retrieval - Implement and maintain CI/CD pipelines for automated deployment - Deploy and manage applications using Docker and Kubernetes - Collaborate with cross-functional teams (ex. AI team) to deliver high-quality software solutions - Troubleshoot and optimize application performance in Linux environments展開
