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■ HPC事業 (High Performance Computer事業)科学技術計算向け高性能計算機の開発・製造・販売事業主に大学・官公庁の研究開発機関が行う科学技術計算に対応した高性能計算機の開発・製造・販売を手掛け、研究内容によって使用される計算手法、計算能力等に応じて最適なシステムを提案及びインテグレーションを実施する。主な製品はクラスタ型コンピュータ、パーソナルクラスタシステム。 また科学技術計算に特化したコンサルティングを行う。主にアプリケーションの高速化、簡便化および製品化、技術者・研究開発者向けセミナーの主催などを行う。■ CTO事業 (Configure To Order事業)産業機械向け組込型計算機の開発・製造・販売事業産業用機械を制御する組込型計算機の開発・製造・販売を手掛け、お客様の用途・要望にあった特殊構成システムの提案等を実施する。お客様のニーズに合わせた長期供給機能及び多品種少量供給を行う。

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience. 5 years of experience with systems automation, and with systems design and implementation of software, or tool development. 5 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting), and with reliability of technical infrastructure. Preferred qualifications: 2 years of experience with software design and architecture, in a cloud infrastructure provider environment. Experience testing, maintaining, and launching software products/infrastructure. Experience with debugging, troubleshooting and diagnosing issues in complex distributed systems. Experience with compute technologies. Experience with low level system software, OS, firmware, low level networking, or hardware. Excellent system building skills. About the jobSystems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. 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 team 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 Contribute to the strategic goal for the Hybrid and On-premises Infrastructure business by assisting in defining, delivering architecture, and road map initiatives. Work with peer engineers and managers within Google teams and external partners to influence product and team road map. Contribute to customer advocacy by understanding user needs and help to deliver solutions that meet customer needs. Support the team in maintaining and enhancing product, engineering, operational, and support excellence to ensure reliable and high-performance operations. Work closely with cross-functional teams to ensure the timely delivery of new product initiatives. 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 Information Technology or a related field, or equivalent practical experience. 10 years of IT Leadership experience, including experience managing enterprise-level transformations within organizations. 8 years of experience in ITSM leadership, including implementing and governing ITSM practices such as Incident, Problem, and Change Management. Experience with the ServiceNow platform, specifically IT Service Management (ITSM), IT Asset Management (ITAM), and Configuration Management Database (CMDB). Certifications in ITIL Managing Professional (MP) or ITIL Strategic Leader (SL), or equivalent. Preferred qualifications: Experience in designing and governing multi-speed Change Enablement ecosystems that harmonize engineering requirements for fast change and release practices, with corporate operational stability. Experience leveraging AIOps and Generative AI (e.g., Gemini, Now Assist, AI Agent Studio) to automate IT operations and reduce manual toil within a complex ITSM framework. Experience integrating ITSM practices with Developer Operations to build automated governance guardrails that support the speed of the business. Experience with leadership in a large, complex enterprise setting that requires high velocity and stability, driving the strategic implementation and governance of all ITSM practices. About the jobWe are seeking an IT Service Management (ITSM) strategist to join our Service Management Office as part of our ITSM transformation toward an AI-native enterprise. In this role, you will be a member of the Service Management Office (SMO) that provides strategic governance and oversight of the ITSM practices within the Corporate Engineering Organisation. You are required to develop and drive leading service management practices and processes that embody our commitment to service quality and reliability, and to forge an AI-native IT service management practice that drives velocity while minimizing the impact of IT changes. You will be accountable for building and governing leading practices across our ITSM landscape, with a focus on eliminating bureaucratic friction through automated governance processes that operate effectively at global scale. A key aspect of your role will be to move the organization beyond traditional ITSM boundaries by establishing a class leading high-velocity change enablement governance framework, that automates standard changes while reducing friction and risk associated with high impact changes. In this role, you will be empowering our engineering and support teams to maintain innovation speed while equally ensuring the technical integrity and stability of our corporate enterprise services.At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.Responsibilities Cultivate a full-spectrum IT Service Management Office (SMO), scaling capabilities across the full suite of ITSM practice areas, including incident, problem, change, request, knowledge, continual improvement, and beyond. Define, deliver and govern the strategic guardrails for service management practices across IT Operations. Serve as the principal Practitioner for change enablement for the SMO, architecting the governance, and leading a Change Advisory Board (CAB) to assess high impact, high risk changes.  Transform the practices into a comprehensive change enablement framework to facilitate high velocity changes to match business demand, while maintaining operational stability.  Define a sophisticated, multi-speed Change Enablement ecosystem, that harmonizes the high-velocity requirements of software and product engineering with the structured needs of corporate functions requiring operational stability, ensuring seamless delivery across the entire enterprise. Leverage the ServiceNow platform to support change enablement 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: Master's degree in statistics, data science, mathematics, physics, economics, operations research, engineering, a related quantitative field, or equivalent practical experience. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD. Preferred qualifications: 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD. Excellent problem-solving skills, with the ability to manage statistically driven analysis and approaches based on the need of problems. Excellent verbal and written communication skills, with the ability to articulate concepts to both technical and non-technical stakeholders. Interest in data, metrics, analysis, and trends, with knowledge of measurement, statistics, and program evaluation. About the jobThe team's mission is to build productivity and data products, develop AI/ML statistical models and provide prescriptive insights to help cloud supply chain and operations (CSCO) define and achieve business goals. The team helps make Google Cloud supply chain and data centers enable data-informed decision making and product innovation. The team pursues high-impact forecasting, anomaly detection, generative AI, automation, and statistical modeling opportunities.Responsibilities Develop machine learning and statistical models to detect anomalies, forecast trends, classify patterns and optimize processes in Google Cloud supply chain and operations. Deliver analytical problems with initial guidance structuring approach and conduct exploratory data analyses, inform model design, and development. Plan and execute prioritized project work, including selecting appropriate methods and advising on opportunities to improve data infrastructure. Identify and recommend ways to improve solutions to problems via selecting better methods/tools. Identify issues with scope, data, or approach. Escalate issues to be addressed by stakeholders and communicate, present insights, and recommend actions to stakeholders. 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.

Team Segment : Music KKBOX is one of the leading music streaming platforms in Asia, serving millions of users across multiple regions. The platform handles large-scale traffic and concurrent streaming workloads. Our infrastructure spans both on-premise data centers and cloud environments, leveraging global CDN networks and multi-region architecture to deliver highly available and high-performance services. The network infrastructure must support high concurrency, cross-region traffic routing, and highly reliable service operations. Responsibilities: Design and maintain the KKBOX network infrastructure to ensure high availability, performance, and reliability of production systems.Manage backbone network infrastructure, including firewalls, load balancers, routing, and hybrid connectivity.Monitor network environments and related services, analyze anomalies, and lead troubleshooting for network-related incidents.Lead incident response and root cause analysis for major network outages or performance issues.Design and implement network architecture optimization to improve system scalability and stability.Collaborate with development teams to improve infrastructure and service architecture.Participate in infrastructure planning, including hybrid cloud networking, traffic routing, and overall architecture optimization.

【關於PropTech數位人才招募計劃】 信義企業集團的各項產品與計畫正融入大數據、機器學習與人工智慧等應用，我們的數位團隊具有豐沛的研發能量，截至目前為止，已累積有40多件發明專利與20件設計專利，大幅領先於房仲相關產業者；並持續致力於「房地產科技創新」與「數位居住生活」兩大面向，以創新智能工具，為使用者提供超乎想像的服務體驗。 我們希望讓居住在這片土地上的人們，在「不動產交易買賣」與「居住生活日常」有更好的保障與體驗，也期待你與我們一起，加速這個改變。 這裡匯聚了40年的集團產業資源，以及多元化的人才；接下來，想邀請你加入，與我們一起創造超乎想像的體驗，成就即將到來的未來！ 【職務簡介】 1.規劃與建置企業級數據平台架構（Azure Data Platform：Databricks、Data Factory、Fabric、Power BI），確保系統穩定性、擴展性與長期可持續發展。 2.設計並優化 AI 與 Data Services（Function App、SQL MI、API、Batch 等），支援 AI 模型部署、應用服務化與業務落地。 3.規劃跨雲數據與 AI 服務整合（Azure、GCP/Vertex AI、BigQuery ML），確保跨平台數據流通與應用效能。 4.建立並推動公司數據與 AI 架構標準，包含數據治理、安全合規、效能優化與成本控管。 5.設計高效率的 ETL / ELT 資料處理流程，確保數據整合的正確性、即時性與最佳化。

❝ 跨領域/非相關科系(具相關經驗)➤ 等你來挑戰 ❞ ｜台灣半導體封測 前 ①⓪ 大廠｜⑴ 華泰 好 薪情 ☞ 年薪上看 16 個月⑵ 華泰 友 職涯 ☞ 專屬輔導員/HR服務窗口⑶ 華泰 善 生活 ☞ 福利平台10,000+ 家廠商任你逛(視營運狀況調整，固定或變動薪資因個人資歷或績效而異)【工作內容】1. 網路規劃與設計：負責企業網路架構設計（LAN、WAN、WLAN、SD-WAN 等）；通訊系統設計與建置（VoIP、IP PBX、視訊會議系統、IoT 通訊架構）；頻寬規劃、網路拓樸設計、負載均衡與高可用性設計。2. 網路與通訊系統維運：安裝與設定路由器、交換器、防火牆、VPN、VoIP 系統；無線網路基地台設置與調校（AP 設定、漫遊管理、干擾排除）；網路協定設定（TCP/IP、OSPF、BGP、MPLS、SIP）；網路電話通訊伺服器維連。3. 系統維運與監控：網路與通訊系統運行監控（使用 NMS、SNMP、Syslog、NetFlow）；故障排除與問題回報；系統效能監測與優化（Zabbix）；定期韌體/軟體更新與弱點修補4. 資訊安全與合規：建置並維護網路資安防護（防火牆、IPS/IDS、VPN、NAC）；VoIP/視訊通訊安全加密管理（TLS、SRTP）；管理帳號與存取控制（AAA、RADIUS、LDAP、IAM）；配合ISO 27001 等資安標準。【具備以下證照尤佳】MCSE、CCNA、CCNP、Network+免費模擬試題檢測

運用 GCP（Google Cloud Platform）進行的全方位開發工作 雲端環境的設計（繪製架構圖） 雲端環境的建置（開發、測試、本番環境） 雲端環境的維護、運用支援與監控作業 雲端服務新功能的驗證與測試 雲端使用費用的估算與成本最佳化的規劃 系統壓力測試與營運測試的執行 技術文件的撰寫與更新 各類日誌的檢查、彙整、分析與預防性維護規劃

蓋亞資訊代理國際雲端服務(GCP、Ａzure、AWS、阿里雲)、雲端資訊安全(Imperva)、雲端應用等雲端服務(1). 雲端網路架構規劃，協助客戶導入雲端服務。 (2). 執行客戶POC測試與服務上線。(3). 回應客戶技術的問題，提供產品技術諮詢。(4). 處理客戶障礙問題判斷與異常排除。(5). 網路環境管理及監控，專案管理與文件報告製作。

1. 協助雲端架構規劃及部署 2. 協助提供雲端解決方案與支援服務導入 3. 有雲端產品學習意願與能力, 並能勝任 presales 角色