公司名稱

台灣積體電路製造股份有限公司

工作地點

台灣

專業領域

資訊技術

職別

主管職

職務類型

正職

職務張貼日

2026/03/25

台積公司成立於1987年，率先開創了專業積體電路製造服務之商業模式，自此成為世界領先的專業積體電路製造服務公司。台積公司以領先業界的製程技術及設計解決方案組合支援其客戶及夥伴生態系統的蓬勃發展，以此釋放全球半導體產業的創新。台積公司為534 個客戶提供服務，生產12,682 種不同產品，被廣泛地運用在各種終端市場，例如高效能運算、智慧型手機、物聯網、車用電子與消費性電子產品等。 進一步資訊請至台積公司網站https://www.tsmc.com.tw查詢。

職務說明

An AI (Artificial Intelligence) HPC (High-Performance Computing) architect is responsible for designing, developing, and implementing high-performance computing solutions with a specific focus on artificial intelligence and machine learning workloads. Their role involves a combination of expertise in AI algorithms, HPC technologies, and system architecture.

Job description of AI HPC Architect:

1. Solution Design: Collaborate with stakeholders, including data scientists, researchers, and IT teams, to understand their requirements and translate them into effective AI HPC solutions. Design architectures that optimize performance, scalability, and efficiency for AI workloads.

2. HPC Infrastructure Planning: Evaluate and select appropriate hardware, networking, and storage resources to support AI computations at scale. This involves considering factors such as parallel processing, GPU (Graphics Processing Unit) acceleration, interconnect technologies, and storage systems.

3. Algorithm Optimization: Work closely with data scientists and machine learning experts to identify opportunities for algorithm optimization. Apply techniques like parallel processing, distributed computing, and GPU acceleration to improve the performance and efficiency of AI models.

4. Performance Tuning: Optimize the performance of AI workloads by fine-tuning system configurations, resource allocation, and workload management. Identify and resolve bottlenecks related to computation, memory, storage, or network bandwidth.

5. Scalability and Resilience: Design solutions that can scale to handle large-scale AI workloads and accommodate future growth. Ensure high availability and fault tolerance by implementing redundancy, load balancing, and failover mechanisms.

6. Integration and Deployment: Collaborate with software engineers and DevOps teams to integrate AI models and algorithms into production environments. Develop deployment strategies and workflows for efficient deployment and management of AI HPC systems.

7. Research and Innovation: Stay up to date with the latest advancements in AI, machine learning, and HPC technologies. Identify and evaluate emerging technologies, frameworks, and tools to enhance the performance and capabilities of AI HPC systems.

8. Documentation and Communication: Document system designs, configurations, and performance optimizations. Communicate complex technical concepts and recommendations effectively to both technical and non-technical stakeholders.

職務要求

1. Strong Background in AI and Machine Learning: A deep understanding of artificial intelligence and machine learning concepts, algorithms, and frameworks is essential. Experience in developing and deploying AI models is highly valuable.

2. Expertise in High-Performance Computing: In-depth knowledge of high-performance computing architectures, technologies, and best practices is crucial. Familiarity with HPC frameworks, parallel processing, distributed computing, and GPU acceleration is important for optimizing AI workloads.

3. System Architecture and Design: Proficiency in designing scalable and efficient system architectures is necessary. Experience in selecting and configuring hardware components, networking technologies, and storage systems for high-performance computing is desirable.

4. Programming and Scripting Skills: Proficiency in programming languages such as Python, C++, or Java is important for implementing and optimizing AI algorithms. Knowledge of scripting languages like Bash or PowerShell is beneficial for automation and system management tasks.

5. HPC Tools and Frameworks: Familiarity with HPC tools and frameworks, such as MPI (Message Passing Interface), OpenMP, CUDA, or OpenCL, is valuable. Understanding how to leverage these tools for parallel computing and GPU acceleration is advantageous.

6. Performance Optimization: Experience in performance tuning and optimization techniques for large-scale computing systems is essential. Knowledge of profiling tools, benchmarking, and workload management is valuable for identifying and resolving performance bottlenecks.

7. System Administration: Understanding system administration principles and practices is beneficial. Knowledge of Linux or UNIX-based operating systems, system monitoring tools, and cluster management frameworks is advantageous.

8. Communication and Collaboration: Strong communication skills are crucial for collaborating with cross-functional teams, including data scientists, researchers, software engineers, and IT professionals. The ability to convey complex technical concepts to both technical and non-technical stakeholders is important.

9. Continuous Learning: The field of AI and HPC is rapidly evolving, so a passion for continuous learning and staying updated with the latest advancements is important. Keeping up with research papers, attending conferences, and participating in relevant communities can contribute to professional growth.

TSMC 企業核心價值

台積公司誠摯招募志同道合的夥伴，與我們一同驅動企業邁向成功。我們深信，核心價值是我們企業文化的基石。因此，應徵者必須認同核心價值，並積極地落實在工作中。 

• 誠信正直： 說真話、不誇張、不作秀。一旦答應，必定不計代價，全力以赴。
• 承諾： 同仁全心全意投入公司，抱著「公司成功、我也成功」的心情，熱忱認真地工作，並且做出最大貢獻。因為承諾是雙向的，公司也會為照顧員工權益全力以赴。 
• 創新：創新是公司成長的泉源，不僅僅是有新的想法，還要執行力，做出改變。 
• 客戶信任： 我們努力與客戶建立深遠的夥伴關係，並成為客戶信賴且賴以成功的長期重要夥伴。

 ( TSMC 核心價值詳細資訊請參考：https://www.tsmc.com/chinese/aboutTSMC/values)

營造一個合乎台積公司核心價值與經營理念的全球共融職場，對於公司未來成功至關重要。台積公司對全球共融職場的承諾，旨在讓每位員工無論性別、年齡、身心障礙、宗教、種族、族群、國籍、政治立場或性傾向，都能將其自身的觀點與經驗帶入工作，促進企業推升獲利、增加生產力並釋放創新。我們致力於創建一個公平無障礙的工作場所。台積公司承諾促進文化共融，讓每一位員工都覺得被重視且有能力為企業使命提供貢獻，並為全球各戶提供卓越服務。