系統整合工程師

工作職責： • 開發車輛端數據收集程式，在車輛電腦上執行並與雲端服務對接。 • 設計並實現車輛端軟體的系統化部署機制，確保穩定自動化部署到終端電腦。 • 開發與維護雲端後台服務，負責車輛數據存儲、處理與API對接。 • 協助前端工程師，確保車輛儀表板能正確顯示車輛相關數據。 • 進行產品與專案的系統維護，並在營運現場進行問題除錯與技術支援。 • 撰寫系統功能文件，並向客戶交付與解說。 • 設計整合整體系統架構，確保各模組順暢運行與高效溝通。 任職要求： 1. 至少3年以上軟體開發與系統整合經驗。 2. 熟悉 ROS2，能夠開發車輛端的應用程式。 3. 精通 Python 與 C++，能夠開發與維護車輛端程式。 4. 具備 AWS 使用經驗，熟悉 EC2、S3、IoT Core、Lambda 等任一服務。 5. 具備系統架構設計能力，能夠整合車端、雲端與前端的數據流。 6. 有系統自動化部署（如 Ansible、Docker、Kubernetes）經驗。 7. 熟悉網路通訊協定（MQTT、WebSocket、REST API）。 8. 具備良好的文件撰寫與交付能力，能向客戶解說技術方案。 9. 具備問題排查與現地支援能力，能迅速分析與解決系統問題。 10. 熟悉任一後端程式語言（如 Node.js、Go、Java 等）。 加分項目 • 有車輛自動駕駛或嵌入式系統開發經驗。 • 熟悉車輛CAN總線或其他車輛通訊協議。 • 具備 DevOps 或 CI/CD 相關經驗，如 GitHub Actions、Jenkins。 • 熟悉資料庫設計，如 MySQL、PostgreSQL 或 NoSQL（MongoDB）。 • 有機器學習或數據分析經驗，可用於車輛數據處理。 Responsibilities： • Develop vehicle-side data collection programs to collect data from onboard computers and integrate with cloud services. • Design and implement a systematic deployment mechanism for vehicle-end software to ensure stable and automated deployment to terminal devices. • Develop and maintain backend services on the cloud, handling vehicle data storage, processing, and API integration. • Assist frontend engineers in ensuring accurate vehicle data display on dashboards. • Maintain system stability for products and projects, providing on-site troubleshooting and technical support when needed. • Write technical documentation and deliver functional reports to clients. • Design and integrate overall system architecture to ensure smooth operation and efficient communication between different modules. Requirements： 1. At least 3 years of experience in software development and system integration. 2. Proficiency in ROS2 for vehicle-side application development. 3. Strong skills in Python and C++ for developing and maintaining vehicle-side applications. 4. Experience with AWS services (such as EC2, S3, IoT Core, Lambda, etc.) is required, but expertise in all is not necessary. 5. Solid understanding of system architecture, capable of integrating vehicle-side, cloud, and frontend data pipelines. 6. Experience in automated system deployment (e.g., Ansible, Docker, Kubernetes). 7. Familiarity with network communication protocols (MQTT, WebSocket, REST API). 8. Strong documentation and reporting skills, capable of delivering technical documents to clients. 9. Ability to diagnose and resolve system issues, including on-site troubleshooting. 10. Proficiency in at least one backend programming language (e.g., Node.js, Go, Java, etc.). Nice to Have： • Experience in autonomous vehicle development or embedded system development. • Knowledge of CAN bus or other vehicle communication protocols. • Experience with DevOps or CI/CD tools such as GitHub Actions, Jenkins. • Familiarity with database design, such as MySQL, PostgreSQL, or NoSQL (MongoDB). • Experience in machine learning or data analysis for vehicle data processing.