找工作

【部門說明】 Garmin 致力於提供多樣化的產品，而我們的開發團隊目標是提供可靠且高品質的電子商務服務，以滿足亞太地區快速增長的市場需求。我們正在尋找一位具有至少3 年實務開發經驗的全端軟體工程師。理想的候選人需要擅長Web前端框架及技術，並同時具備後端API開發技術的專業能力。作為一個小型團隊的一員，您將與全球團隊合作，共同解決複雜的架構挑戰，並提供卓越的使用者體驗。 【工作範圍】 • 與Garmin的亞太各國團隊合作，以應對不斷變化的市場需求，提升使用者體驗並實現業務目標。 • 參與敏捷軟體開發的各個階段，包括設計、開發和部署。 • 設計並開發新功能的前端頁面及後端API，並撰寫Unit Test • 確保應用程序維持最佳性能、正常運行時間及可擴展性，同時堅持高標準的程式碼品質與設計。 【工作需求】 • 3年以上實務全端開發經驗 • 精通Javascript/HTML/CSS及前端框架(Vue.js) • 具有Java後端RESTful API開發經驗(Spring Boot) • 熟悉資料庫設計- 關聯式(Oracle / MySQL)及No SQL(Elasticsearch) • 具有版本控制(Git)使用經驗 • 能夠獨立作業、善於溝通，能與團隊良好的互動 • 具有良好的英語口說及閱讀能力TOEIC 700+ 或同等英文能力

【部門說明】 Garmin 致力於提供多樣化的產品，而我們的開發團隊目標是提供可靠且高品質的電子商務與面向客戶的服務，以滿足亞太地區快速發展的市場需求。我們正在尋找一位熱衷於軟體測試且注重細節的品質保證工程師。理想的候選人需要對品質保證有深入了解，並具有自動化測試框架的實務經驗，確保能交付穩定且可擴展的網頁應用服務。您將與開發人員及產品經理緊密合作，致力於維持最高品質標準的產品。 【工作範圍】 • 負責網頁應用與 API測試環境架設、擬定測試計畫、設計測試案例、執行測試案例，並產出測試報告。 • 規劃並執行針對前端與後端系統的自動化測試腳本。 • 使用Jira管理、記錄和追蹤軟體缺陷，並與開發人員密切合作，處理和解決問題。 • 協助開發團隊進行重現缺陷的操作流程並進行測試及修正。 • 參與Scrum Planning及系統設計，定義測試策略及驗收標準。 • 評估並實施新的測試工具及流程，以提升測試效率。 【工作需求】 • 3年以上實務經驗 • 熟悉網頁應用常用測試方法，包括前端及後端API。 • 有實際中小型 web 端專案的自動測試和性能測試工具及框架應用經驗，如Playwright、Selenium、Jmeter、Cucumber、Serenity BDD • 熟悉關聯式資料庫(MySQL, Oracle) • 能夠獨立作業、善於溝通，能與團隊良好的互動 • 能夠獨立閱讀及撰寫英文技術文件及用英文簡易溝通/TOEIC 700+ 尤佳 【擅長工具】 1. Jira 2. Git/Bitbucket 3. Playwright、Selenium、Jmeter、Cucumber、Serenity BDD 4. SQL 5. Java/Python

【About the job】 As a member of the Core Engineering team within our Automotive segment, you will play a pivotal role in bridging the gap between cutting-edge research and market-ready products. Our mission is to take advanced technologies and implement them into automotive platforms with the high standards of quality required for mass production. Currently, Vision AI and Generative AI are the most transformative technologies in the industry. In this role, you will have the unique opportunity to bring these innovations to life in real-world automotive environments, creating intelligent, engaging, and safety-focused features that redefine the driving experience. 【In this position, you will learn to】 1. Master Embedded Automotive Development: Gain deep, hands-on experience in developing complex software specifically tailored for the rigorous demands of automotive-grade embedded systems. 2. Deploy AI on the Edge: Learn the end-to-end process of deploying AI models—including LLMs and Vision algorithms—onto resource-constrained embedded platforms, focusing on optimization and real-time performance. 3. System-Wide Technical Insight: Gain a comprehensive, 〝big-picture〝 understanding of automotive system architecture, moving beyond isolated components to see how various core technologies integrate. 4. Cross-Functional Collaboration: Enhance your ability to navigate large-scale projects by collaborating and integrating solutions with multiple component teams across the organization. 5. High-Level Technical Communication: Build confidence and professional expertise in demonstrating new technologies and Proof-of-Concepts (POCs) to international clients and executive leadership. 【Responsibilities】 We are looking for experienced engineers to create new features and applications that utiltize latest Vision AI, Generative AI and LLM technologies for embedded automotive products. 【Core Technical Topics】 1. Machine learning and deep learning (Vision AI, GenAI, and LLM) 2. Tensorflow lite in embedded system 3. Deep Learning Architectures (GAN / LSTM / Transformer) 4. NLP / LLM Integration 5. Vision SLAM 【Requirements】 1. Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. 2. Proficient in C++ and OOP programming. 3. Knowledge and experience in Machine Learning and Deep Learning. 4. Familiarity with Generative AI and LLM frameworks. 5. Strong understanding of Data Structures, Algorithms, and Operating Systems. 6. Strong analytical and problem-solving skills. 7. Excellent communication and teamwork ability. 8. TOEIC 750+ or equivalent English proficiency. 【Preferred Requirements】 1. Experience in model optimization (e.g., Quantization-Aware Training / QAT). 2. Hands-on experience in Generative AI and LLM applications. 3. Familiarity with open datasets (e.g., BDD100K). 4. Experience in Android Framework development. 5. Background in automotive software or Infotainment System (IVI) development.