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Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages (e.g., Python, C++, Rust, Go). Preferred qualifications: Experience with automated testing frameworks. Experience with operating systems, distributed systems, compilers, Low Level Virtual Machines (LLVM). About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will design, develop, and maintain software testing frameworks and integrations, involving coding in Rust, Python, C++, and Go. You will work in greenfield projects as well as new features in existing systems. You will work across the entire stack, from the kernel to userspace to beyond the device, to develop testing features. You will propose and implement kernel-level features as needed, You will implement data processing pipelines to analyze test results at scale. You will develop and improve tools for test execution, output processing, and result collection. You will investigate and implement AI/ML models to assist with test generation, optimization, and automated bug triaging. You will contribute to shared team responsibilities such as roller/build rotation, debug and triage customer issues.Fuchsia is a modern, open source operating system that is simple, secure, updatable, and performant. It’s a general purpose OS, designed to power an ecosystem of hardware and software, and provides core operating system functions like system resource management, a driver framework, and software abstractions.Responsibilities Design and implement new testing features in C++ and Rust. Implement new end-to-end testing harnesses in Python for device testing. Collaborate across the organization to gather feedback and identify gaps in our testing frameworks. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering or related technical field, or equivalent practical experience. Experience with accelerator architectures and data center workloads. Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools. Preferred qualifications: 2 years of experience post PhD. Experience with performance modeling tools. Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies. Knowledge of high performance and low power design techniques. About the jobIn this role, you will shape the future of AI/ML hardware acceleration as a Silicon Architect/Design Engineer and drive cutting-edge TPU (Tensor Processing Unit) technology that fuels Google's most demanding AI/ML applications. You will collaborate with hardware and software architects and designers to architect, model, analyze, define and design next-generation TPUs. You will have dynamic, multi-faceted responsibilities in areas such as product definition, design, and implementation, collaborating with the Engineering teams to drive the optimal balance between performance, power, features, schedule, and cost.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Revolutionize Machine Learning (ML) workload characterization and benchmarking, and propose capabilities and optimizations for next-generation TPUs. Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap. Develop architectural and microarchitectural power/performance models, microarchitecture and RTL designs and evaluate quantitative and qualitative performance and power analysis. Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software codesign, creating high performance hardware/software interfaces. Develop and adopt advanced AI/ML capabilities, drive accelerated and efficient design verification strategies and implementations. Use AI techniques for faster and optimal Physical Design Convergence -Timing, floor planning, power grid and clock tree design etc. Investigate, validate, and optimize DFT, post-silicon test, and debug strategies, contributing to the advancement of silicon bring-up and qualification processes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 10 years of experience in ASIC development with Verilog/SystemVerilog, Vhsic Hardware Description Language (VHDL). Experience in micro-architecture and design IPs and subsystems. Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT). Preferred qualifications: Experience with scripting languages (e.g., Python or Perl). Experience in SoC designs and integration flows. Knowledge of bus architectures, fabrics/NoC, processor design, accelerators, or memory hierarchies.. Knowledge of high-performance and low-power design techniques. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will be part of a team developing Application-Specific Integrated Circuits (ASIC) used to accelerate and improve traffic efficiency in data centers. You will collaborate with members of architecture, verification, power and performance, physical design, etc. to specify and deliver high quality designs for next generation data center accelerators. You will solve technical problems with innovative micro-architecture and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Drive development of complex IPs and subsystems along with a team of engineers. Own micro-architecture and implementation of IPs and subsystems. Work with architecture, firmware and software teams to drive feature closure and develop micro-architecture specifications. Drive design methodology, libraries, debug, code review in coordination with other IPs Design Verification (DV) teams and physical design teams. Identify and drive power, performance and area improvements for the domains owned. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

｜核心職責 (Technical Execution)【全渠道通訊架構與高併發治理 (Omnichannel Messaging Architecture)】。主導 Meta (WhatsApp, Facebook Messenger, Instagram) 與 LINE 等第三方通訊平台的底層串接架構設計。。建構具備高吞吐量、高可用性且支援非同步處理的訊息中樞 (Message Hub)，確保在海量 Webhook 瞬間併發下，系統仍能穩健運行且達到「訊息零丟失 (Zero Message Loss)」。【核心模組演進與重構】。主導系統中複雜模組的 refactoring 實作。具備處理大規模程式碼異動的能力，能在不影響業務運行下，完成 Scope 極大的系統改版與邏輯優化。【AI 協作開發實踐】。將 AI 輔助工具（如 GitHub Copilot, Cursor）深度整合進日常工作流。利用 AI 進行高效率的 code review、基於 Testcontainers 與 LocalStack 的整合測試生成及複雜邏輯的重構建議，示範如何以 AI 賦能達成極致的產出品質。【務實的性能治理與調優】。根據業務場景進行合理的 performance tuning。需具備判斷技術投入產出比（ROI）的能力，確保核心通訊場景具備極限負載下的穩定性，同時在一般功能中保持開發效率與成本平衡。【安全性與弱點修復】。主導處理經由 Inspector 掃描發現的系統弱點（Vulnerabilities）。需具備評估風險優先級與實作修復方案的能力，在維持系統高可用性的前提下，優化軟體依賴與代碼安全性。。針對第三方平台的 Token 授權管理、API Secret 存放與傳輸安全進行嚴格把關。【高品質代碼實作】。負責核心 Feature 的開發與關鍵 API 設計，建立具備高度可讀性、可維護性且效能優異的代碼範本。【技術瓶頸攻堅】。針對系統運行中的各類 Hard Problem（如 deadlock、race condition、OOM 等）進行深度追蹤並完成修復。

Responsibilities: High-Quality Code Delivery:Write clean, concise, easy-to-read, and well-documented code to ensure the system is maintainable and scalable.Ensure code is designed for scalability and performance, anticipating future growth and changes.System Analysis and Refactoring:Analyze existing system code, refactor and optimize it, and write tests to ensure system stability and performance.Propose and implement refactoring strategies that improve maintainability, performance, and readability of the system.Code Review and Team Collaboration:Actively participate in code reviews, provide constructive feedback on pull requests, and help the team continuously improve.Share best practices to elevate the overall code quality within the team.Requirements Understanding and System Design:Collaborate closely with product and business teams to thoroughly understand requirements and contribute to system architecture design, implementing effective technical solutions.Contribute to the design and architecture of scalable systems, ensuring alignment with overall product strategy.Identify potential technical challenges early and propose effective solutions.International Team Collaboration:Work with global engineering teams, engaging in technical communication and collaboration to drive product innovation.

產業類別： 電腦/週邊設備製造 職責要求 一、團隊與組織管理 1.領導企業營運開發團隊（SAP開發 / Integration / AI應用） 2.建立系統開發與交付機制（SDLC / Agile / DevOps） 3.負責團隊人力規劃、技術培育與績效管理（約 3–5 人） 4.與營運管理課協同，確保開發與維運順利銜接 二、系統與架構治理 1.主導企業系統架構設計（SAP S/4HANA + 異質系統整合） 2.規劃系統整合架構（API / Interface / Middleware） 3.設計資料架構與資料流（Data Model / Data Flow） 4.建立開發規範與技術標準（Coding / Transport / Version Control） 三、需求與系統設計 1.主導業務需求訪談與系統解決方案設計 2.撰寫與審查功能規格與技術規格（FS / TS） 3.設計跨模組流程（FI/CO/MM/SD/PP/QM/WM）整合 4.建立可重用開發元件與標準化方案 四、專案與跨部門協作 1.主導系統開發與整合專案（Enhancement / Integration / Automation） 2.控管專案時程、品質與風險 3.跨部門溝通（IT / 財務 / 業務 / 製造） 4.協同 SAP 顧問與外部開發團隊推動專案 五、AI 與自動化推動（與營運管理課共同推進） 1.評估並導入 AI 應用（AI Agent / RPA / Automation） 2.設計 AI 與 ERP / Workflow / BI 系統整合模式 3.推動流程自動化與智慧化應用落地 4.支援企業 AI 技術導入與架構設計 六、治理與合規 1.確保系統開發符合內控與資安要求（ITGC / Audit） 2.建立開發流程之控制機制（Change / Transport / Authorization） 3.配合內外部稽核與文件準備

【Company Highlights】 🌟 Specializing in AI-driven customer service solutions and virtual assistants, and using natural language processing and machine learning for automated interactions🌟 Aims to enhance customer experience and streamline business operations through AI technology🌟 Fully remote with competitive package and benefits 【Responsibilities】 Design and architect robust, resilient, and scalable OpenStack cloud infrastructure to meet the organization's computing, storage, and networking requirements Lead the deployment, configuration, and integration of core OpenStack services including Nova, Neutron, Cinder, Glance, Keystone, Horizon, and Heat Automate the provisioning and management of OpenStack environments using tools like Ansible, Puppet, or Heat Ensure high availability and fault tolerance across the OpenStack control plane and compute/storage resources Monitor and troubleshoot issues within the OpenStack environment, and implement proactive measures to maintain optimal performance Collaborate with the network, storage, and security teams to integrate OpenStack with existing infrastructure Develop and document standard operating procedures for deploying, upgrading, and maintaining the OpenStack environment Provide technical guidance and support to the cloud operations team Stay up-to-date with the latest OpenStack releases and roadmap, and evaluate newfeatures and capabilities for potential adoption

【職務內容】 - 參與系統基礎建設、CI/CD 流程建置、開發、測試、生產環境的建置 - 開發與設計伺服器基礎設施、建置可擴展性的架構來運行服務 - 使用雲端服務搭建所需系統和平台，以及持續的調整與優化 - 支持軟體的快速迭代包括部署、變更、發布、故障處理等 - 編寫網路架構設計相關文檔、評估時程 - 處理主管交辦事項 - 標配MAC電腦(本職務工作地點位於桃園) 【上班時間】 早上 9 點至下午 6 點並且有 30 分鐘彈性上下班 【公司福利】 勞健保、三節、尾牙、生日禮金。 我們公司設有咖啡休息區，免費零食、飲料、餐點，飲品，備有微波爐。 不定時員工聚餐與電影欣賞，每年都有員工旅遊。

【職缺描述】 打造千萬用戶量級的掌上型體驗 TVBS 的行動應用程式 (App) 是我們觸及數百萬用戶、傳遞新聞資訊與影音內容的核心渠道。我們追求的不僅是功能的實現，更是流暢的互動體驗、毫秒必爭的效能，以及穩健的程式架構。 我們正在尋找經驗豐富的資深 app 開發工程師，您將是我們 app 產品的技術核心。您需要利用對 Swift 或 Kotlin 或 Flutter語言的深刻理解，主導 App 的架構演進，並解決複雜的效能挑戰。在這個角色中，您將有權力定義技術規範、引導團隊成員，並直接影響最終用戶的滿意度。如果您對打造頂級 App 充滿熱情，並樂於在快速變化的媒體環境中接受挑戰，誠摯邀請您加入。 【主要職責】 (Responsibilities) App 架構主導與演進： 負責 iOS 或 Android App 的架構設計、重構與優化。評估並導入新的技術和設計模式（如 MVVM, VIPER, Clean Architecture），確保架構的可維護性與擴展性。效能瓶頸突破： 深入分析並解決 App 效能問題，包括啟動速度優化、記憶體管理、UI 流暢度調校，以及網路請求效率提升。程式碼品質與團隊指導： 主導 Code Review，制定並推行開發規範 (Coding Standards)。提供技術指導 (Mentorship)，協助團隊成員共同成長。核心功能開發： 與產品經理、UI/UX 設計師及後端工程師緊密協作，交付高品質的核心功能，並確保最佳的使用者體驗。技術探索與創新： 持續研究 iOS 平台新技術（如 SwiftUI, Combine, Concurrency），評估其可行性並應用於實際產品中，推動團隊技術創新。 TVBS開發團隊對於軟體的品質有最高的要求。我們致力於以穩定的開發速率，持續地交付有價值的軟體來滿足客戶需求，並以全局為考量穩定改善團隊以及消除多餘的浪費。我們深信最佳的架構與設計皆來自於能自我組織的團隊，歡迎有相同信念的朋友一起加入！【職務內容】1. 設計並建置 iOS or Androi平台應用程式2. 與跨職能團隊共同合作開發3. 依需要撰寫良好自動化單元測試4. 修復應用程式bug，並持續改善效能5. 輔導跨職能Scrum團隊與Product Owner協同開發 Job Description Crafting Mobile Experiences for Millions of Users TVBS's mobile applications are central to how we reach millions of users, delivering news and video content daily. We pursue not only feature completion but also a seamless interactive experience, millisecond-level performance, and a robust application architecture. We are looking for an experienced Senior app Developer to be the technical cornerstone of our iOS or Androidproducts. You will leverage your deep understanding of Swift or Kotlin or Flutterto lead the evolution of our app architecture and solve complex performance challenges. In this role, you will have the authority to define technical standards, mentor team members, and directly influence end-user satisfaction. If you are passionate about building top-tier applications and thrive on challenges in a fast-paced media environment, we sincerely invite you to join us. Key Responsibilities Application Architecture Leadership: Lead the design, refactoring, and optimization of the mobile application architecture. Evaluate and implement new technologies and design patterns (e.g., MVVM, VIPER, Clean Architecture) to ensure maintainability and scalability.Performance Bottleneck Resolution: Conduct in-depth analysis and resolution of app performance issues, including startup time optimization, memory management, UI rendering smoothness, and network request efficiency.Code Quality and Mentorship: Lead code reviews and establish coding standards. Provide technical mentorship to help team members grow professionally.Core Feature Development: Collaborate closely with Product Managers, UI/UX Designers, and Backend Engineers to deliver high-quality core features and ensure optimal user experience.Technology Research and Innovation: Continuously research new iOS technologies (e.g., SwiftUI, Combine, Concurrency), evaluate their feasibility, and apply them to products to drive team innovation.

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. The Role:Software Engineer, Backend Development at TSMC IT focus on designing the most flexible, scalable backend architecture with optimized performance to support TSMC world-class manufacture, engineering and business systems. The ideal candidate has a highly technical multi-discipline engineering skillset that can push the limits of complex system design at large scale. Responsibilities: 1. Implement the features and services of backend for TSMC software products 2. Develop state-of-the-art code 3. Continue to refactor existing applications 4. Contribute to write tests to ensure software quality 5. Apply software design principles to ensure software quality 6. Ensure sustainability and performance of software applications 7. Willing to learn new IT technologies