找工作

1. 衛星網路通訊操作系統(SNOS)之架構確立、模擬與分析， 2. 網通軟體之承接、修改與執行。 3. 承辦及參與委託給學界或業界之研發案。

職務內容： 1.USB/TBT/HDMI/DP/MIPI...etc 等高速介面規格制定 2.高速介面晶片產品之 晶片架構設計、韌體開發、晶片Silicon驗證 3.高速介面 FPGA 開發 and 驗證驗證 4.高速介面 ASIC 專案開發與設計 應徵條件： 1.碩士以上，電機工程、電控工程、電子工程、自動控制、資訊工程、資訊科學、動力機械相關科系畢業為主 2.熟悉 C、Python、Matlab、Git 3. 具備嵌入式系統開發/學習經驗者，或對 MCU/CPU 架構熟悉者佳 4. 具備基礎數位電路設計 and VLSI 基礎知識者佳 5. 有高速傳輸（不限介面）專業經驗與知識者優先

Key Responsibilities • Defect Triage & Analysis: Investigate and categorize reported issues, including incorrect computation results, API failures, and build errors across different distributions. • Build & Compatibility Issue Resolution: Ensure library builds successfully on various platforms and distributions (Ubuntu, Red Hat, SLES, CentOS) and identify root causes of failures. • Client Tool Support: Assist in maintaining and enhancing functionalities within the library tools to support debugging and performance analysis. • Cross-Team Collaboration: Work closely with developers, QA, and support teams to diagnose, prioritize, and resolve issues efficiently.

工作項目： 1. 影像處理。 2. Machine Learning演算法發展。 應徵條件： 1. 碩士以上; 電機工程、電信工程、電控工程、電子工程、資訊工程、資訊科學、動力機械、自動控制、通訊工程相關科系畢業為主。 2. 熟悉 Machine Learning/DNN model development為佳。

軟體 1.C++ 、C#、ASP.net、Python; 2.具備機器學習、深度學習及相關演算法 3.熟悉SQL資料庫語法等(一年以上相關開發經驗為佳), IIS，虛擬環境等架設為佳 4.光學相關知識, 熟悉電子元件, 基本訊號串接邏輯及IOT 背景尤佳

1.衛星通訊酬載基頻規劃與元件開發。 2.低軌衛星通訊系統模擬與效能驗測。 3.承辦及參與委託給學界或業界之研發案。

工作項目 : 1. Camera ISP影像處理及3A演算法開發。 2. Computer Vision (CV)電腦視覺演算法開發。 3. Artificial intelligence (AI) 機器學習演算法開發。 4. 帶領小組團隊研發。 應徵條件: 1. 碩士以上；電機電子工程相關、資訊工程相關。 2. 熟悉常用程式設計語言如C/C++/Matlab。 3. 具訊號處理或IC設計工作經驗者為佳。

1. 制定自動化設備視覺應用改進完善方案 2. 視覺應用工作整體把控 3. 機器視覺方案設計及可行性分析 4. 自動化機器視覺算法設計及開發 5. 與客戶檢討設備方案及驗證狀況改善推動 6. 有良好的帶隊能力或專案驅動力

1.NAND flash 特性分析 2.Error handle flow 開發 3.LDPC相關應用

職務說明： 1. 負責協助公司內部產品開發流程的智慧化與自動化 2. 提升 Digital Design Verification (DV) 的驗證效率與品質 3. 工作常與不同部門協調和討論需求，重視團隊溝通與合作，互相支援提醒 職務內容： 1. 將機器學習與人工智慧導入現有的工作流程，並與自動化系統整合 2. 與前端、後端工程師及數位設計驗證 (DV) 工程師合作，開發客製化的 data-driven 應用程式 3. 建構 Data 與 ML Pipeline 4. 開發與維護 ML Model、AI 上線後的性能監測與再訓練 5. 開發與維護 數據清洗、數據串接、數據監控、數據品質管理、Dashboard 6. 設計實驗以評估與分析導入 AI 後帶來的效益 職缺需求： 1. 精通 Python 3 2. 具備 Machine Learning 觀念、任一 ML / DL Framework 3. 具備 LLM 觀念與應用開發經驗 4. 具自行閱讀 AI / ML 論文的能力 5. 具資料科學相關背景，熟悉資料分析、資料視覺化、資料清理、資料處理 6. 具 Time Series Analysis and Forecasting、NLP、DRL、GNN 經驗者尤佳 7. 具 LangChain、LlamaIndex、vLLM、LLaMA Factory 等 LLM Inference 框架與 LLM Fine-tuning 使用經驗者尤佳 8. 具 RAG、Vector Database 開發經驗者尤佳 9. 具 AI Agentic Workflow 開發經驗者尤佳 10. 具 MLOps、MLflow 經驗者尤佳 11. 具 SystemVerilog、SVA、UVM、Design Verification 經驗者尤佳 12. 具問題發現能力、問題分析能力、問題組織能力、問題解決能力、問題追蹤能力、溝通能力 13. Data Science、Data Engineering、Computer Science、Information Engineering、Electrical and Electronic Engineering、Physics 等相關科系畢業者佳 Position Overview: 1. Support the intelligentization and automation of the internal product development processes 2. Enhance the efficiency and quality of Digital Design Verification (DV) 3. Collaborate across departments to address requirements, with emphasis on team communication, cooperation, and mutual support Key Responsibilities: 1. Implement machine learning and artificial intelligence solutions into existing workflows and integrate with automated systems 2. Collaborate with frontend, backend, and digital design verification (DV) engineers to develop customized data-driven applications 3. Construct Data and ML pipelines 4. Develop and maintain ML models, including post-deployment performance monitoring and retraining 5. Develop and maintain systems for data cleaning, integration, monitoring, quality management, and dashboards 6. Design experiments to evaluate and analyze the benefits of AI implementation Qualifications: 1. Expert proficiency in Python 3 2. Strong understanding of Machine Learning concepts and experience with at least one ML/DL framework 3. Knowledge of Large Language Models (LLMs) and experience in LLM application development 4. Ability to independently read and comprehend AI/ML research papers 5. Data science background with expertise in data analysis, visualization, cleaning, and processing 6. Strong problem identification, analysis, organization, solving, and tracking abilities, plus excellent communication skills Preferred Qualifications: 1. Experience with Time Series Analysis and Forecasting, Natural Language Processing (NLP), Deep Reinforcement Learning (DRL), or Graph Neural Networks (GNN) 2. Experience with LLM inference frameworks such as LangChain, LlamaIndex, vLLM, and LLM fine-tuning framework such as LLaMA Factory. 3. Experience with Retrieval-Augmented Generation (RAG) and Vector Database development 4. Experience developing AI Agentic Workflows 5. Experience with MLOps and MLflow 6. Experience with SystemVerilog, SVA, UVM, or Digital Design Verification (DV) Academic Background: Data Science, Data Engineering, Computer Science, Information Engineering, Electrical and Electronic Engineering, or Physics-related fields.