轉職熱搜工作

【本職缺僅接受台積電官方網站投遞】 請至台積電官方網站投遞個人履歷表，此職缺履歷登錄網址: https://careers.tsmc.com/careers/JobDetail?jobId=462&source=1111 Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. As an AI/ML Engineer, you will be a key member of a versatile team focusing on both algorithm development and platform implementation for TSMC’s R&D, Fab, Business, IT, and Security functions to improve productivity and work quality. The role involves developing AI/ML solutions, implementing scalable platforms to support AI productionization, and maintaining the lifecycle of machine learning models. Responsibility: Common Responsibilities 1. Collaborate with cross-functional teams of data scientists, ML engineers, and software developers. 2. Drive the complete AI solution development stages from data collection, exploration, and feature engineering to model evaluation and error analysis. 3. Perform model lifecycle management to ensure the validity of models in production. 4. Exercise sound judgment in determining if business problems can be addressed through AI/ML and communicate results effectively to domain users. 5. Operate and maintain scalable, highly available AI platforms with continuous measurement and quality improvement to meet SLO/SLAs. Differentiated Responsibilities 1. AI/ML Solution Development (1) Develop AI/ML algorithms that optimize manufacturing processes, improving productivity and work quality. (2) Explain AI/ML models to internal customers and conduct error analysis. 2. AI Platform Development (1) Design and implement full tech stack solutions, including data-related technologies and AI platforms. (2) Develop tools, automation, and microservices to extend platform capabilities. (3) Manage container-based workloads and process high volumes of data in environments like Kubernetes. Additional information for the job: Job Location: Hsinchu Site, Taipei Office (Experienced only) On-call needs: On-call 1 week every 3 months The complete interview process includes: 1. Manager interview 2. Hackerrank test 3. On-site personality and English test(which could be replaced if you have script of officially English test) 4. HR interview 5. Second manager interview (Optional assessment) 6. Technical review (Optional assessment) Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. We strive to create a workplace that is equitable and accessible to all employees. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.

【本職缺僅接受台積電官方網站投遞】 請至台積電官方網站投遞個人履歷表，此職缺履歷登錄網址: https://careers.tsmc.com/careers/JobDetail?jobId=5448&source=1111 Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. We are looking for a highly motivated and critical-thinking site reliability engineer to join tsmc. The ideal candidate should have exposure to systems in both staging and production and all technical teams. This position requires software development, support, IT operations, and on-call duties experience. Responsibilities: 1. Develop state-of-the-art applications 2. Continue to refactor existing applications 3. Transform repeatable tasks into automation tools 4. Contribute to writing tests to ensure software quality 5. Apply software design principles to ensure software quality 6. Ensure sustainability and performance of applications 7. Collaborate with peers in design and code reviews. 8. Willing to learn new IT technologies The complete interview process includes: 1. Manager interview 2. Hackerrank test 3. On-site personality and English test (which could be replaced if you have a script of officially English test 4. HR interview 5. Second manager interview (Optional assessment) 6. Technical review (Optional assessment). Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. We strive to create a workplace that is equitable and accessible to all employees. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.

ASIAA CASA Development Center (ACDC) is a software team for the ALMA-Taiwan project, focusing on quality software development to boost science productivity. Please check https://cartavis.org to see what we are actively working on. We are looking for one software developer and one computing system manager with enthusiasm and interests in astronomy to join our team. 詳情請參閱本所網站: https://www.asiaa.sinica.edu.tw/jobopening/ad.php?i=80f56c02e0f4d5c71033c032d5767b88 待遇(依本院規定): The 〝actual〝 starting salary is highly negotiable if the applicants are experienced in programming. 大學畢業: 38,388元起薪；碩士畢業: 44,968元起薪

職缺名稱:1.醫護服務型機器人實習生(H000)@台南2.Unity開發實習生(H100)@新竹3.VR建模實習生(H100)@新竹4.RAG應用實習生(H100)@新竹5.Python平台開發實習生(S300)@新竹6.Python系統開發實習生(U300)@新竹7.Python系統開發實習生(U300)@台南8.機器人視覺技術開發實習生(U300)@新竹9.機器人視覺技術開發實習生(U300)@台南10.機器人虛擬器開發實習生(U300)@台南，以上實習職缺詳細內容請上以下報名連結登入:服科中心投遞職缺網址:https://forms.gle/dmvqRyysJP7HUzZm7 115年工研院服科中心實習職缺說明(新竹-台南) https://sites.google.com/view/weclometoitri/％E9％A6％96％E9％A0％81

1. 生成式AI與大型語言模型應用開發 負責生成式AI（Generative AI）及大型語言模型（LLM）相關應用的研發與實現，包括模型的開發、訓練與調優（如 GPT、BERT），以支援知識問答、AI Agent 等多元應用場景 2. 數據處理與模型訓練資料準備 建立與維護數據管道，涵蓋資料的收集、清理、標註與訓練資料的準備工作，確保AI模型具備高品質的輸入資料以提升效能 3. AI技術整合與策略規劃 與內部團隊合作，設計並實作法人金融AI解決方案，將LLM技術整合至企業系統，同時持續研究最新AI技術與趨勢，評估其應用潛力並提供技術建議 請至中信招募官方網站投遞履歷 https://ctbcholding.wd3.myworkdayjobs.com/zh-TW/External/job/––TA-_JR3259

大葉大學資訊工程學系徵聘助理教授級（含）以上全職教師二名徵才公告 一、徵聘職級：助理教授級（含）以上2名專任（或專案）教師。 二、應徵資格： 1、已取得助理教授以上教師證書者或已獲博士學位或可於115年7月31日前可取得博士學位者（須檢附指導教授出具之證明函）。 2、具資訊工程相關專長者，以人工智慧、物聯網、資訊安全、大數據分析、雲端技術及行動網路應用者尤佳。 3、具備與專長領域相關之業界實務工作經驗、產學合作經驗及國際交流經驗者尤佳。 4、可全英文授課者。 5、視應聘者條件及甄試成績，決定以專任或專案聘用。 三、應繳資料： 1、履歷自傳（含學經歷及各項服務）。 2、近5年的著作目錄、重要著作影本（請務必加註SCI、EI、Impact Factor）。 3、教師證書影本（已具教師資格者）。 4、學位證明影本（國外學歷畢業證書除英文外需附譯本，學位證書、成績單均須駐外單位查驗）。 5、身分證影本（正反面）。 6、可開授課程一覽表。 7、其他足資證明資格或有助審查之資料，如英文能力證明、計畫、獲獎等。 四、薪資待遇：依本校規定辦理。 五、聘任日期：自115年8月1日起聘。 六、截止日期：115年1月20日前（以郵戳為憑），請將上述相關應徵資料郵寄至「515 彰化縣大村鄉學府路168 號大葉大學人事室收」（信封請註明「應徵資訊工程學系教師」）。 七、聯絡資訊：人事室徐先生 04-8511888轉1705 資訊工程學系顏小姐 04-8511888轉2401/f5100@mail.dyu.edu.tw 八、注意事項：面試通知於書面資料審查後，將另行通知，請務必註明聯絡電話及E-mail；資格不符者恕不通知，所提送的申請資料亦將不予退還。

從事 Computer Architecture 相關研究，針對 emerging technologies (例如 non-volatile memories、3D ICs) 和 modern applications (例如 machine learning、graph analytics、genome analysis等) 設計高效節能之系統，並共同撰寫論文。 可能研究主題包括 in/near-memory computing system design, machine learning acceleration and memory optimization (e.g., for LLM, recommendation system, few-shot learning, GCN, etc.), memory/storage system design for genome analysis and graph analytics. energy-efficient edge computing for AIoT, sustainable computing systems等, 有參與國內與國際合作計畫機會, 視應徵者背景及能力而定。

深度學習模型推論和訓練優化研究 (Optimization of Deep Learning Model Inference and Training) Machine Learning Systems團隊的研究方向包括：平行與分散式計算、編譯器、以及計算機架構。我們利用電腦系統的技術加速深度學習模型推論和訓練，並研究下一世代機器學習模型的系統開發和優化。 我們的研究方向著重於： 1. 模型壓縮與計算優化研究。 模型壓縮技術 (pruning and quantization) 透過減少AI模型容量與運算量，實現模型執行加速，對於嵌入式系統等資源受限的計算平台以及記憶體有限的AI加速器至關重要。為了有效執行壓縮後的模型，許多次世代處理器設計了新的運算功能，例如向量運算 (Intel AVX512, ARM SVE, RISC-V RVV) 和矩陣加速器 (matrix-multiplication unit on GPUs and NPUs) 等強化功能。我們將研究 (1) 如何利用這些強化運算功能加速壓縮模型的執行，(2) 各種計算平台，例如伺服器、邊緣裝置、異質系統等的壓縮模型的佈署方法。 2. AI加速器設計。 針對深度學習模型的推理加速，在FPGA板上實現AI加速器硬體設計，並進行軟硬體協同設計與優化研究。 3. 異質環境下深度學習模型推論優化研究。 智慧系統如自駕車與語音助理，通常需執行複雜的深度學習模型 (complex deep learning models: hybrid models, multi-models, and multi-task models)。與此同時，電腦架構正朝向異質多處理器設計發展 (heterogeneous architecture: CPUs+GPUs+AI accelerators)。如何整合異質處理器來執行複雜模型並達到高效能的運算，成為一項關鍵且具挑戰性的研究。針對此問題，我們將探討以下方向：(1) 模型運算與異質處理器的分配策略，(2) 排程演算法設計，(3) 模型執行平行化方法，包括資料平行（data parallelism）、模型平行（model parallelism）與張量平行（tensor parallelism）。 上述研究議題為國內外深度學習系統領域之重要發展方向，產業界及學術界均需此方面人才。適合擬專心研究，未來從事學術工作者或研發工作者，對於未來規劃進修博士學位者, 本實驗室之研究計畫提供優良之訓練環境與研究經歷。 薪資：碩士44968元起薪，該職缺係「適用勞動基準法」