工作內容 1. 設計、實施和維護本地人工智能推理服務器。 2. 跨職能團隊合作，確保無縫項目交付。 3. 維護和提高我們的服務/平台的可靠性和可擴展性。 4. 實施最佳實踐和行業標準以優化平台性能。 5. 及時有效地排除和解決問題。 6. 記錄知識共享和未來參考的流程和程序。 相關資歷 1. 通過盛行的 Web 框架開發（Flask、Django 等），在 RESTful API 開發方面擁有經過驗證的實踐專業知識。 2. 熟悉 Linux 上的 Docker 和 Git 技術。 3. 熟悉網絡和瀏覽器技術。 4. 精通 Python 並具有豐富的實踐經驗（必要條件）。 5. 具有數據庫經驗（PostgreSQL、MongoDB 等）。 6. 具有人工智能基礎設施、開發和設計的最佳原則、實踐和模式的經驗。 7. 有GCP 和相關機器學習服務的經驗。 加分項目- 1. 具 CI/CD 經驗（例如 Gitlab、Github、Drone）。 2. 對技術充滿熱情，了解如何位具體的業務挑戰構建技術解決方案。 ※ MLOps方面 1. 有機器學習自動化、MLOps 和相關工具（MLflow、Airflow、Kubeflow 等）的經驗 2. 具MLOps 的實踐經驗，包括在雲端部署和管理 AI/ML 模型（例如 Google Cloud Platform 等）。 ※DL方面 1. 具有電烤視覺模型開發經驗。 2. 對電腦視覺技術和深度學習算法有一定的了解，對圖像處理方法有深入的了解。 3. 具Python編程專業知識，以及深度學習庫（Pytorch、TensorFlow等）的經驗 4. 有深度學習模型加速開發經驗（TensorRT、Onnxruntime、OpenVINO等） 5. 有使用K8s體驗。 Job description 1. Design, implement, & maintain the on-premise AI inference servers. 2. Collaborating with cross-functional teams to ensure seamless project delivery. 3. Maintaining and improving the reliability, and scalability of our services/platforms. 4. Implementing best practices and industry standards to optimise platform performance 5. Troubleshooting and resolving issues in a timely and efficient manner. 6. Documenting processes and procedures for knowledge sharing and future reference. Qualifications Experience 1. Proven hands-on expertise in RESTful API developments via popular web framework developments (Flask, Django, etc). 2. Familiarity with Docker, and Git technologies on Linux. 3. Familiarity with web and browser technologies. 4. Advanced proficiency and intense hands-on experience with Python (Mandatory). 5. Experience with databases (PostgreSQL, MongoDB, etc). 6. Experience with the best principles, practices, and patterns of AI infrastructure, development, and design. 7. Experience in GCP and associated machine learning services. Pluses- 1. Experience with CI/CD (e.g., Gitlab, Github, and Drone). 2. Passion for technology and understanding of how to build technology solutions for concrete business challenges. [About MLOps parts] 1. Experience in implementing ML automation, MLOps and related tools (MLflow, Airflow, Kubeflow, etc) 2. Hands-on experience with MLOps, including deploying and managing AI/ML models on the cloud (e.g., Google Cloud Platform, etc.). [About DL parts] 1. Experience in computer vision model development. 2. Soft understanding of computer vision techniques and algorithms of deep learning, and a solid understanding of image processing methods. 3. Expert knowledge of Python programming, and experience with deep learning libraries (Pytorch, TensorFlow, etc) 4. Experience in deep learning model accelerating development (TensorRT, Onnxruntime, OpenVINO, etc) 5. Experience with K8s.

1.導入目前自有的Channel和客戶群 2.現有客戶維持 3.新客戶開發

職位簡介: 後端軟體工程師，負責整合機械手臂、相機及 AI 系統，著重於 ROS2 平台及 Linux 環境下的開發。 此角色將開發高效的後端服務，支持機器人控制、感知和 AI 決策，並在x86 Nvidia Jetson 等嵌入式平台上實現優化部署。 產品目標為自動化控制系統，應用於工業自動化、物流機器人等領域，提供一個高效、穩定的軟體平台。 職責: 基於 ROS2 框架設計並開發後端系統，整合機械手臂和相機驅動 在 Linux 環境下開發並優化軟體服務，確保高效通信與數據處理 在 Nvidia Jetson 平台上進行性能優化與部署 開發 API 與接口，支持實時控制與數據交換 與硬體、AI 團隊合作，實現系統整合和自動化控制 技能需求: 精通 ROS2 開發與 Linux 環境，具備 2 年以上後端開發經驗 具備 C++、Python 等語言的高效編程能力 了解 Docker 容器技術及微服務架構 熟悉機器人控制、相機驅動與圖像處理，具備 OpenCV 經驗 有 Nvidia Jetson 平台或嵌入式系統開發經驗 加分項: 有機械手臂控制或自動化系統開發經驗 具備 AI 模型整合與優化經驗 Job Title: Robot and vision Backend Software Engineer (Robotic Arm, Camera, AI Integration) Job Overview: We are looking for a skilled Backend Software Engineer to integrate robotic arms, cameras, and AI systems, focusing on development within ROS2 and Linux environments. This role will design and build efficient backend services to support robot control, perception, and AI-driven decision-making, with optimization for deployment on x86 and Nvidia Jetson embedded platforms. The product's goal is to develop automation control systems, applied in industrial automation and logistics robots, providing an efficient and stable software platform. Responsibilities: Design and develop backend systems based on the ROS2 framework, integrating robotic arm and camera drivers. Develop and optimize software services in a Linux environment to ensure efficient communication and data processing. Optimize performance and deploy systems on Nvidia Jetson platforms. Develop APIs and interfaces to support real-time control and data exchange. Collaborate with hardware and AI teams to achieve system integration and automation. Skills Required: Proficiency in ROS2 development and Linux environment with 2+ years of backend development experience. Familiarity with robot control, camera drivers, and image processing, with experience in OpenCV. Strong programming skills in C++ and Python. Knowledge of Docker container technology and microservices architecture. Experience with Nvidia Jetson platform or embedded system development. Preferred: Experience with robotic arm control or automation system development. Expertise in AI model integration and optimization.

產品專頁網址- https://www.solomon-3d.com/tw/home-tw/ 產品介紹影片- https://www.solomon-3d.com/tw/solomon-meta-aivi/ 技能要求： 1.熟悉C++/C#兩種語言，撰寫程式經驗2年以上 2.熟悉物件導向程式設計 3.熟悉記憶體配置、資料結構設計 4.能設計多執行緒結構的程式 5.重視程式的效能、可擴充性、易維護性 (有開發大型軟體經驗佳，請帶作品參與討論) 加分項目： 1.擅長設計使用者介面，會ＷPF者尤佳 2.有演算法開發經驗 3.有影像處理背景 4.有使用OpenCV、Point Cloud Library、CUDA經驗 【Foreign nationals highly welcome】 1.Strong programming skill C/C++, >2 years’ experience 2.Proficient with object-oriented software structure design 3.Good understanding of software memory management, data structure 4.Able to handle multi-thread system 5.Attention on the effectiveness, scalability of the code Experienced with managing large software system development (prefer to have software demo during interview) Additional skills: 1.Good at GUI design 2.Experience with algorithm development 3.Have image-processing background 4.Familiar with OpenCV, Point Cloud Library, CUDA

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