1.負責公司 AI 平台建置與整合,提升工作效率,並降低使用外部工具可能帶來的資安風險。
2.推廣並培訓使用者應用 AI 工具,協助同仁利用 AI 技術提升日常工作效能。
3.進行資料清洗與優化,確保 AI 模型訓練所需的數據具備高品質與高準確性。
4.規劃與實施工作流程自動化,改善既有作業流程,減少人工作業負擔。
5.開發與維護內部知識庫系統,持續優化資訊管理與查詢效率,強化組織知識利用價值。
本職位在公司 AI 技術推動與數位轉型過程中扮演關鍵角色,負責平台建置、應用推廣與資料管理,是提升企業競爭力的重要推手。
歡迎具備熱忱與專業的您加入,一同推動公司邁向智慧化與數位化的未來!
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工作內容:
1. 將AI ISP 影像處理模型部署至車用控制器平台(如 Qualcomm、NVIDIA、黑芝麻、MTK及各家NPU 等),確保AI模型在各類平台穩定運行。
2. 依據產品需求,評估模型在 GPU、CPU、NPU 等運算單元上的算力需求與資源佔用,進行性能分析與優化。
3. 與 AI ISP 演算法開發人員合作,完成模型移植、壓縮、加速與平台適配。
4. 針對不同平台環境進行測試與調優,確保模型滿足車用場景的即時性、穩定性與可靠性要求。
5. 參與車載系統軟硬體整合,協助解決模型部署過程中的技術問題。
6. 持續關注車用 AI SoC、NPU 與 ISP 平台的最新技術動態,熟悉各家平台與NPU使用方式,並提出相關改善與升級建議。
技能描述:
1. 資訊工程、電機電子工程、光電工程、影像處理等相關專業碩士及以上學歷。
2. 5年以上AI 模型開發或平台部署經驗。
3. 熟悉深度學習模型部署流程,具備 TensorRT、ONNX Runtime、TVM 或類似工具的經驗。
4. 具備 C/C++、Python 程式開發能力,了解嵌入式 Linux 環境。
Responsibilities:
1. Deploy AI ISP models onto automotive computing platforms (e.g., Qualcomm, NVIDIA, Black Sesame, MTK and NPU-based platforms), ensuring stable runtime performance.
2. Evaluate computational requirements and system resource usage (GPU, CPU, NPU, etc.) based on product needs, and perform resource consumption and performance optimization.
3. Collaborate with AI ISP algorithm developers to handle model porting, compression, acceleration, and platform adaptation.
4. Conduct testing and fine-tuning across different automotive platforms to guarantee real-time, stability, and reliability standards.
5. Support software-hardware integration for automotive systems and troubleshoot deployment-related technical issues.
6. Stay updated with the latest automotive AI SoC, NPU, and ISP platform technologies, providing insights for improvements and upgrades.
Skills Qualification and Experience:
1. Master's degree or above in Computer Science, Electrical/Electronic Engineering, Optoelectronics, Image Processing, or related fields.
2. Minimum of 5 years of experience in AI model development or platform deployment.
3. Familiar with deep learning model deployment workflows, with hands-on experience in tools such as TensorRT, ONNX Runtime, TVM, or similar frameworks.
4. 4Proficient in C/C++ and Python programming, with a solid understanding of embedded Linux environments.
Job Overview:
We are seeking a talented and experienced RPA engineer to join our team. The ideal candidate will design, develop, and deploy automated workflows using Robotic Process Automation tools. You will collaborate with business transformation team to identify opportunities for automation and drive process efficiencies. This role requires technical expertise in RPA platforms, problem-solving skills, and a strong understanding of business processes.
Job Description:
1. Process Analysis and Feasibility:
• Collaborate with team to analyze and document processes suitable for automation.
• Assess the feasibility of automation for various workflows using RPA.
2. Design and Development:
• Develop efficient, scalable, and reusable automation workflows using RPA.
• Design end-to-end automation solutions while adhering to best practices and organizational standards.
3. Testing and Deployment:
• Conduct rigorous testing to ensure automation workflows are accurate, reliable, and robust.
• Deploy bots to production environments and validate their performance.
4. Monitoring and Maintenance:
• Monitor deployed automations for performance and stability.
• Troubleshoot and resolve issues, applying updates and optimizations as needed.
5. Continuous Improvement:
• Identify opportunities to enhance existing automation workflows.
• Stay updated with advancements in RPA, as well as general RPA technologies, tools, and best practices.