轉職熱搜工作

＜About the Job＞ We are looking for a highly motivated and skilled AI Infrastructure Engineer with strong hands-on experience in Kubernetes (K8s), particularly in supporting AI/ML workflows. In this role, you will be instrumental in designing, implementing, and maintaining robust, scalable, and high-performance Kubernetes-based infrastructure that supports the entire lifecycle of our AI applications—from data processing and model training to deployment and monitoring. You will work closely with data scientists, AI/ML engineers, and DevOps teams to ensure seamless integration of AI/ML workloads within cloud-native environments. The ideal candidate has a deep understanding of container orchestration, distributed systems, and MLOps practices, and is passionate about building efficient, reliable platforms that enable rapid AI innovation. This is a unique opportunity to work at the intersection of AI and cloud infrastructure, contributing to next-generation systems that power intelligent applications at scale. ＜Job Responsibilities＞ ．Design & Architecture: Design, build, and scale a reliable and efficient Kubernetes platform optimized for AI/ML workloads. This includes provisioning GPUs, managing resources, and ensuring optimal performance for computationally intensive tasks. ．Infrastructure Management: Manage the entire Kubernetes cluster lifecycle—from provisioning and configuration to ongoing maintenance, monitoring, and troubleshooting, ensuring high availability and scalability. ．Deployment & Automation: Develop and implement CI/CD pipelines to automate the deployment, scaling, and updating of machine learning models and AI services. Ensure seamless integration with AI tools like Kubeflow, MLflow, and Argo Workflows. ．Performance Optimization: Continuously monitor and optimize system performance, focusing on resource utilization, latency reduction, and improving the overall efficiency of AI workloads. Ensure high availability and minimal downtime for AI services. ．Collaboration & Guidance: Work closely with data scientists, ML engineers, and cross-functional teams to understand their infrastructure requirements and provide technical solutions to meet workload demands effectively. ．Security & Compliance: Implement best practices for cluster security, including network policies, access controls, and vulnerability management to safeguard sensitive data and maintain compliance. ．Cost & Resource Efficiency: Manage resources effectively to optimize cost while maintaining high-performance infrastructure for AI model training, inference, and data processing. ＜Skills & Qualifications＞ ．Kubernetes Expertise: You should have hands-on experience with Kubernetes (K8s) architecture, including deploying applications, managing resources, and troubleshooting complex cluster issues in a production environment. ．Containerization & Linux Environment: Strong knowledge of container technologies such as Docker, along with hands-on experience in Linux environments. Expertise in container orchestration and deployment practices is highly valued. ．AI Workloads: Deep understanding of GPU scheduling and performance optimization, including strategies for resource allocation, workload balancing, and maximizing throughput for AI/ML tasks. ．Automation & CI/CD: You need practical experience with building and managing CI/CD pipelines using tools like GitLab CI, Jenkins, GitHub Actions, or ArgoCD to automate deployments. ．Programming & Scripting: Proficiency in at least one scripting language (e.g., Python, Bash) is a must. ．Networking: Knowledge of container networking and service mesh technologies (e.g., Istio, Linkerd) is highly desirable and a great advantage.

【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=4997&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. Our company is seeking a skilled Software Development Engineer in Test (SDET) to help lay the groundwork for our engineering teams to build robust automation tests more efficiently and effectively. The SDET will be instrumental in enhancing our testing capabilities and ensuring the highest quality of software delivery. Joining our dynamic team, you will be at the forefront of cutting-edge technology, working to support our expansive growth across the globe. Responsibilities: 1. Design, develop, and maintain the automation test framework and infrastructure that allows for efficient creation, execution, and maintenance of automated tests. 2. Collaborate with software engineers to understand product architecture and features, to build effective test plans and automation scripts. 3. Implement best practices in test automation and ensure that automated tests are integrated into the continuous integration and deployment pipelines. 4. Mentor and support other engineers in writing testable code and developing automated tests, enhancing the team‘s overall testing expertise. 5. Troubleshoot, identify, and document bugs, and work with development teams to resolve issues. 6. Optimize test automation strategies to increase test coverage, test efficiency, and lower defect rates. 7. Engage in code reviews and provide constructive feedback to improve the quality and maintainability of test code. 8. Stay updated with the latest trends in test automation and introduce new tools and frameworks that can enhance testing workflows. Additional information for the job: 1. Job Location: Taipei Site, Hsinchu Site. 2. On-call needs: On-call 1 week every 2 months. The complete interview process includes: 1. Manager interview 2. Hackerrank test 3. On-site personality and English test(could be replaced if you have a script of an officially recognized 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.

1. At least 5 years of experience in embedded system, FreeRTOS is a plus 2. Familiar with C/C++, Linux, TCP/IP, Streaming 3. Familiar with Reatlek, OmniVision, Sigmastar, Rockchip, Ambarella, Hisilicon or any IP camera platform. 4. Excellent troubleshooting and problem-solving skills. 5. Well communicate with different team such as Hardware, Audio, Optical, IQ, DQA, customer, etc. 6. Familiar with Git control tool

1. Lead the lead of firmware team for server project. 2. Study technical issue for project‘s needs. 3. Review & sign off requirement specification. 4. Review engineer design. 5. Review function/interface specification. 6. Review bug fixing. 7. Help the design and review the common definitions for debugging and profiling.

We are seeking a highly motivated Software Engineer, who support the development, integration, and maintenance of the AI-driven software platform used in GPU server manufacturing and diagnostics. This role focuses on log processing, service development, model implementation, data analysis, and integration testing. The engineer will work closely with team members to implement features that improve failure attribution, test optimization, and automated diagnostics for AI server platforms. **Responsibilities 1. Software System Development Implement backend service modules for the system. Develop log parsing tools, data transformers, LLM, and rule-based diagnostic logic. Write clean, maintainable code (primarily Python) and participate in code reviews. 2. Log & Data Handling Build and maintain scripts for collecting, cleaning, and indexing diagnostic logs. Manage log storage and retrieving data for model training. 3. System Integration & Testing Support integration between the platform modules and Diagnostics software, automation frameworks, and factory systems. Help deploy updated components to test environments or production lines. 4. Issue Investigation Work with senior engineers to analyze failure logs, detect patterns, and refine rule-based logic. Document root causes and support continuous improvement of diagnostics accuracy. 5. Documentation & Team Collaboration.

【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=5292&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. TSMC is searching for a Computer Vision and Machine Learning Software Manager for Mask-Making and computational application. As the leader of the in-house image and AI team, you will be responsible for delivering state-of-the-art technology for defect image inspection, evaluation, treatment, and analysis. Our software focuses on defect image inspection, evaluation, treatment, and analysis. The objective is to become the leading team in mask-technology software, supported by the most cutting-edge tools and the largest database accessible. Responsibilities: 1. Manage in-house inspection project, including image processing code and model structure design, implementation, and verification. 2. Code for GPUs to optimize computing resources for image processing and machine learning. 3. Implement style transfer and GAN for high-accuracy image simulation. 4. Develop image processing and deep-learning model for image segmentation and classification. 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.

1.Monitor applications in real time and handle abnormalities or errors. 2.Conduct troubleshooting, root cause analysis, and issue resolution to maintain system stability. 3.Support application optimization and small-scale development tasks. 4.Write and update maintenance process documentation, providing operational guidelines and best practices. 5.Monitor and maintain servers, networks, storage, and application systems to ensure high availability and stable operations. 6.Quickly diagnose, isolate, and resolve system and network issues, escalating incidents when necessary to minimize operational impact. 7.Perform scheduled maintenance, including system updates, patching, backups, and hardware checks. 8.Collaborate with IT, manufacturing, and engineering teams to align maintenance work with business objectives and drive improvement initiatives. 9.Document maintenance activities, incident handling, and solutions, generating reports for the day-shift team and management review. 10.Assist with system upgrades, new infrastructure deployments, and testing/monitoring of automated processes. 11.Participate in rotating day/night shifts to ensure 24/7 system availability. 12.Provide guidance and support to less-experienced team members when required.

1.個人電腦軟硬體及週邊設備之安裝、設定、管理及維護 2.防火牆、NAS、AD Server、Switch等資安相關軟硬體建置、管理及維護 3.ERP系統維護及資料備份　(熟悉鉅茂ERP程式修改尤佳) 4.協助制定公司資訊安全政策，建立備份機制及資料庫之管理 5.協助電子商務工作 6.支援其他部門及主管交辦事項

1. 負責遊戲前/後端功能開發與維護。 2. 協助團隊進行程式除錯、功能測試與優化。 3. 在資深工程師帶領下，參與專案邏輯實作。