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晧飛思（Heph A.I Studios）是一家專注於 AIGC（AI 生成內容）的創新公司， 致力於打造 數字人（Digital Human）、語音互動（Speech AI）、虛擬主持人（AI Host）、智慧櫃檯（Smart Concierge）、AI 虛擬助理 等新世代 AI 產品。 我們相信未來的人機互動，不只要即時、自然，更要能帶來情感連結。 後端團隊在這當中扮演核心角色：串接大型語言模型（LLM）、影音流處理、推論系統部署、API 設計與效能優化。 我們正在尋找一位 能主導 AIGC 應用後端架構與效能優化的資深 Backend 工程師，負責設計高效、穩定、可擴展的 AI 應用服務，並與 AI 研究與產品團隊協作，打造高互動性的語音與數字人體驗。

泰科動力是成立於2021年的『成長公司』，我們的團隊成員來自德國KUKＡ機器人核心研發團隊，團隊平均有10年以上『自動化設備』與『自主移動機器人』開發經驗。團隊在機器人產品設計經驗豐富且成果豐碩。我們的核心價值為團隊（Team）、人工智能 (AI)、互聯 (connection)、秉持著員工是公司最重要資產，我們重視每一位員工，除了有良好工作環境、也提供學習及成長的空間，主動積極的栽培優秀人才，現在就差最優秀的您加入，一同創造嶄新的未來。【What Will You Do】1.負責 AMR 上位系統 (FMS、WCS 等) 的架構設計與開發，確保系統高效、穩定且具擴充性。2.使用 C# / .NET Core / Blazor 建立即時監控與操作介面，將機器人運行狀態、任務流程與報表可視化。3.建立與維護 微服務架構，設計跨服務溝通介面 (gRPC、REST API、SignalR 等)，支援分散式運算。4.開發 非同步事件驅動系統，處理高併發資料流 (Task-based、Channel、Message Queue、Pub/Sub)。5.整合資料快取與訊息中介工具 (Redis、Kafka、RabbitMQ 等)，優化效能與系統反應速度。6.串接機器人底層控制系統與感測資料，實現從上位調度系統到 AMR 的即時控制與監測。7.與跨部門團隊 (控制、韌體、機電、測試) 協作，共同完成系統需求分析、技術整合與驗證流程。8.撰寫架構設計文件、API 文件、測試規範，確保系統具備長期維護性與開發一致性。【需要具備的職能】1.精通 C# / .NET Core 開發，具備良好物件導向概念與 SOLID 設計原則。2.熟悉 Blazor Server / Blazor WebAssembly 應用開發，能設計資料即時互動與使用者操作介面。3.具備 微服務架構 實作經驗，熟悉服務間通訊 (gRPC、RESTful API)。4.熟悉 非同步程式設計 (async/await、Task、Channel、Message Queue)。5.具備 Redis 或其他快取系統經驗，了解分散式快取與資料一致性設計。6.熟悉 SQL / NoSQL 資料庫與 ORM 框架 (Entity Framework、Dapper)。7.熟悉 Git、CI/CD、自動化部署與版本管理流程。8.能使用 Scrum 或 Kanban 進行團隊敏捷開發。【加分條件】1.有 FMS、WCS、AGV、AMR 或工業自動化系統開發經驗。2.具備 前端技術 (React、TypeScript、TailwindCSS) 基礎或 Blazor 前端效能優化經驗。3.熟悉 Docker / Kubernetes 容器化與微服務部署。4.了解系統監控與資料可視化工具 (Grafana、Prometheus、Seq、Elastic Stack)。5.有 DevOps、分散式追蹤、或系統診斷經驗。【我們期待的夥伴】1.對 AMR / 智慧物流系統 與大型分散式軟體架構開發充滿熱情。2.具備從架構到程式層面皆能掌握的全局視野。3.喜歡挑戰高併發、高可靠性系統的開發與優化。4.擁有開放的學習心態與團隊合作精神，能主動解決問題並分享知識。

【主要工作內容】一、WCS 產品架構設計與技術主導二、演算法設計與優化，需具備開發或主導下列至少一類演算法：•任務派發與調度•儲位最佳化•系統效能模型三、軟體開發與程式碼品質維護•使用 C#/.NET 開發 WCS 模組、演算法模組與系統框架。•主導 Code Review、架構標準制定、模組化重構。•建立 Unit Test、CI/CD 流程、Logging、Monitoring、Observability。四、設備與物流整合•了解物流現場流程（出入庫、揀貨、補貨、盤點、任務優先權）。•整合 AMR、ASRS、輸送線、PLC 設備之 API / 通訊協定。•能與硬體/AI/機電團隊合作，處理跨設備控制邏輯。五、團隊管理與跨部門合作•帶領 3–10 人軟體團隊（後端、控制、演算法）。•與 PM、硬體、AI 團隊共同規劃產品 Roadmap、技術 Milestone。•推動 Agile / Scrum 技術文化。【必要條件】•8+ 年軟體開發經驗，3+ 年架構或主管經驗。•熟悉 .NET / C#、分散式系統、API 設計、微服務架構。•熟悉 MIP、OR-Tools、Heuristic、A*、Scheduling、Routing 等任一類演算法。•熟悉倉儲流程、物流設備、WCS/WMS 整合概念。•具備高併發、高可用系統開發經驗（優化 10k+ events/sec 更佳）。【加分條件】•實作過 WCS、WMS、FMS、MES 或大型 OT 整合系統。•有 AMR/AGV Routing、ASRS Scheduling、Conveyor Flow Control 實務經驗。•熟悉 gRPC / Kafka / Kubernetes / Docker。•有 Simulation、數學最佳化、AI/ML 加速經驗優先。•具備跨國團隊溝通經驗（日本/美國/東南亞）。【我們期待的夥伴】•對物流自動化、演算法、AI、設備整合高度熱情。•具強邏輯與問題分析能力。•主動負責、能快速適應不確定環境。•善於跨部門溝通並推動產品落地。

We are looking for an experienced Senior Software Engineerwho is passionate about building high-performance backend systems. You will work closely with a talented engineering team in an Agile environment, contributing to all stages of product development — from architecture design, coding, code review, to production operations. Our product is a next-generation social platform that integrates social media, personalized feed, rating review systems, community engagement, social gamification, real-time chat, and merchant services. The platform is built with a complex microservice architecture, designed to handle millions of users, massive data streams, and high concurrent traffic efficiently. The system is deeply integrated with AI, leveraging machine learning and large language models (LLMs) to enable content understanding, recommendation, fraud detection, and intelligent moderation. You will have the opportunity to work closely with AI engineers to design scalable APIs, data pipelines, and backend infrastructures that power these intelligent features across the social ecosystem.Mô tả công việcDesign, develop, and maintain backend services using Java (Spring Boot / Vert.x / Quarkus) and Kotlin;Build and integrate RESTful APIs, gRPC services, and external third-party systems;Design scalable, reliable, and fault-tolerant architectures that meet performance and business requirements;Write clean, maintainable, and testable code following SOLID principles and modern best practices;Conduct code reviews, optimize performance, and improve database queries (MySQL / MongoDB / Redis / Kafka / ElasticSearch/ HBase/ ClickHouse);Collaborate with DevOps teams to implement and maintain CI/CD pipelines (ArgoCD, Docker, Kubernetes, GitLab CI) across cloud environments (AWS / GCP / Azure);Apply best practices for performance tuning, caching, monitoring, logging, and observability;Work closely with AI and data teams to integrate backend services with machine learning and data pipelines;Mentor and support junior developers, fostering a culture of technical excellence and continuous improvement.Yêu cầu công việcBachelor’s degree in Computer Science, Software Engineering, or a related field;3–6+ years of hands-on experience in Java (Kotlin) development for production systems;Strong proficiency in Spring Boot or Vertx, with understanding of reactive or asynchronous programming;Experience with REST / gRPC APIs and message queues (Kafka, RabbitMQ);Solid understanding of OOP, design patterns, concurrency, and memory management;Experience working with OLAP systems, data analytics pipelines, or data warehousing technologies;Proficient in working with SQL / NoSQL databases (Oracle, MongoDB, Redis, HBase etc.);Familiar with Docker, Kubernetes, and cloud environments (AWS / GCP / Azure);Strong problem-solving skills, logical thinking, and a sense of ownership;Good communication and collaboration skills across teams.

The MoMo Recommendation Platform is a complex system that powers personalized experiences for millions of users using a diverse range of technologies.We’re looking for a Senior Software Engineer with strong system thinking, architecture design skills, and a product mindset to help build the MLOps platform that transforms any AI/ML solutions into production-grade systems at scale.Mô tả công việcThink like a product engineer: you don’t just “code a solution” – you build a platform that empowers others to deliver intelligent sysDesign and develop a flexible platform that turns AI/ML solutions into production-ready systems: microservices, batch pipelines, or real-time APIsBuild infrastructure to support:Model training pipelinesPackaging deploymentServing rolloutMonitoring alertingCollaborate closely with Data Scientists, Business, and Product teams to deeply understand requirements and design adaptable, scalable solutionsIntegrate platform components into MoMo’s broader infrastructure: promotion engine, A/B testing, analytics, real-time scoring, etc.Yêu cầu công việcMust-Have5+ years of experience in software development, system architecture, or backend/platform engineeringProficiency in one or more of the following: Python, Bash, C++, JavaScript, Java, or GoStrong problem-solving skills and teamwork spiritExperience with:Platform Deployment: Kubernetes, Helm, Argo CD, Argo Rollouts, Docker, Google Cloud Platform (GCP) or Amazon Web Services (AWS)Serving APIs: FastAPI, gRPC, MLflow, KServe, custom logic services, REST APIsData Messaging: BigQuery, Redis, MongoDB, PostgreSQL, Oracle, MySQL, Kafka, Pub/SubOrchestration Workflow: Airflow, Argo WorkflowsCI/CD Monitoring: GitHub Actions, Prometheus, GrafanaData Sources: App event streams, relational databases, messaging systems, APIsSolid understanding of distributed systems and cloud-native architectureAbility to design systems that support diverse solution typesPlatform mindset: you build for stability, scalability, and long-term maintainabilityStrong communication and collaboration skills – able to work cross-functionally with Data Scientists, DevOps, and Product teamsNice-to-HaveExperience working with both AI/MLExperience scaling low-latency / real-time systemsFamiliarity with A/B testing, canary release, and shadow deployment strategiesProduct-oriented mindset: you build systems that others can easily adopt and extend

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. Experience in computer networking, including network protocols (e.g., TCP/IP, BGP), network topologies, and network management principles. Experience in network automation, network programming, or Software-Defined Networking (SDN). Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. Ability to work effectively with cross-functional teams and external partners/vendors. Familiarity with open networking standards and models, such as OpenConfig and network telemetry protocols like gRPC Network Management Interface (gNMI). 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.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. As a Staff Software Engineer on the WANForms team in Bangalore, you will play a leading role in transforming how Google's Wide Area Network (WAN) is built and operated.We are modernizing our network by treating network devices as software components. You will design and build sophisticated software systems that hide the complexity of different network hardware from various vendors, allowing us to program, manage, and automate Google's massive global network more effectively.This work is critical for ensuring our network is agile, reliable, and can scale to meet the demands of Google's services worldwide.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 Design, develop, and deploy scalable, and reliable software systems. This includes building tools to automatically configure network devices based on goals, collect vital operational data from these devices, and enable programmatic control over network operations. Lead the architecture, design, and implementation of major software projects that automate and manage Google's Wide Area Network (WAN) infrastructure. Work closely with network engineers, product managers, and other software teams to understand requirements, define technical solutions, and integrate new technologies. Influence engineering best practices and architectural decisions across teams. Address open-ended technical issues in network automation and break down ambiguous problems into clear designs and actionable development plans. Mentor and guide other software engineers, fostering technical excellence, code quality, and a collaborative team environment. 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.

維護開發server端程式 1、伺服器應用程序開發: 設計、實現並維護高性能、可擴展的伺服器應用程序，以支援多人線上遊戲，伺服器端的邏輯、數據庫設計和優化2、通信協議: 與前端跟後台團隊合作，制定相關通訊協議3、性能優化: 優化現有的伺服器代碼，以提高性能和效率，包括算法優化、代碼重構和資源管理4、問題解決: 解決伺服器端的技術問題，能夠快速定位與解決線上問題，具備故障排除和問題解決的能力，有排除多線程造成問題經驗為佳5、技術方案制定: 參與制定伺服器架構和相關系統的技術方案，提供技術指導和建議，有過整體遊戲服務器框架設計針對高併發封包處理相關經驗為佳

Dcard 是在年輕族群有極高滲透率與影響力的社群平台。我們致力於打造一個讓每個人都可以放心分享自己故事的地方，讓平凡人分享不平凡故事的新世代社群服務。面對快速變化的社群生態，我們期待更多優秀的人才加入 Dcard。為了達成這個目標，我們需要 Backend Engineer 加入我們，根據業務與使用者需求，和產品團隊合作開發不同的產品服務。 為什麼你該加入 Dcard？ Dcard 產品從抽卡延伸至社群論壇、廣告等，服務對象從大學生到所有年輕人。我們正在以成長型思維打造一個快速成長、持續擴展影響力的組織。團隊聚焦長期使命願景與戰略，一同專注目標並持續突破。我們面向世界，在不同領域創造更多的發展與機會，也不滿足於現有版圖。每天都有數以萬計想要分享與閱讀故事的人在 Dcard 上交流，你將有機會提供客戶接觸到龐大的使用者，為客戶提供更多的價值與服務。我們需要你的加入幫助 Dcard 在更多領域提供價值給使用者！ 關於 Dcard 的 Backend 團隊使用的技術現況主要使用 Golang、 Node.js 開發系統都架設在 Google Cloud Platform 上，採用 microservice 架構，並大量使用 Google Kubernetes Engine跟據不同的功能需求使用了 PostgreSQL、Elasticsearch、Redis 等等不同的 DatabaseGolang 服務架構以 Go Kit 的架構為主、搭配使用自行開發的 codegen 並以 gRPC 做為內部 microservice 的主要溝通方式CircleCI 處理自動化 CI/CD、讓系統測試與佈署更為安全穩定組內現況每週一次組內週會討論問題與分享技術每兩週一次 Study Group 學習新知每月一次全工程團隊的 Seminar不定期 System Design Review，開發前進行設計上的確認加入 Backend 你可以得到加入不同 Delivery team，和 PM、Engineer 和 Designer 合作，共同開發社群、廣告等不同領域的功能與產品有機會處理各種高流量與高可用性的問題，讓使用者有順暢穩定的使用體驗，包含 Infrastructure ＆ Database 搭建與優化、cache 的處理、如何進行 Data Migration 並確保服務不會中斷等等考驗嘗試並導入新的技術，有保留時間給 Developer 進行技術評估感受到系統真的很多人在使用，每一項改動都要好好的思考帶來的影響，花心思做的服務不怕無人問津產出並優化共用 library 與開發工具，讓開發功能可以更為迅速完整在組內參與各種學習機會與討論，例如週會、Study Group、Design Review 會議等等你將在團隊參與⋯ 短期透過 on-board projects 與 mentor 的討論，熟悉開發工具、規範與程式架構。瞭解負責產品的方向，熟悉相關部份的程式與架構。與合作的 Product Manager、Engineer 和 Designer 進行交流，了解團隊協作工具。跟據需求開發功能並兼顧程式的可讀性與維護性，並且進行完整測試。長期與開發團隊進行深入的需求討論，能夠跟據時程、開發成本等面向提出建議。全面瞭解整體的程式與架構，跟據目前實作的優缺點，並且提出改善。持續學習新技術、主動分享並將嘗試適合的技術導入。

公司介紹： 這是一家深耕遊戲技術的開發團隊，專注打造跨平台即時線上遊戲，後端伺服器以高併發處理與穩定連線為核心，服務全球玩家。團隊文化開放、溝通流暢，重視工程師的技術深度與問題解決能力。公司導入敏捷開發流程與Hybrid辦公制度，讓開發者能專注在性能調校與技術創新。 工作內容： 設計與維護高效能遊戲伺服器端程式制定前後端通訊協議（WebSocket / gRPC / HTTP）優化現有伺服器代碼與資料結構，提高效能與穩定度參與伺服器架構設計與高併發封包處理方案快速定位與排除線上問題，確保即時遊戲穩定運作與前端與後台團隊協作，制定技術規格與整合方案 使用技術： WebSocket、HTTP、gRPC、Linux、TiDB、Git 熟悉 C++ / Golang / 高併發伺服器框架者尤佳

公司介紹 這是一家獲得 NVIDIA 直接投資、Computex 唯一點名 的台灣新創公司，專注於 3D 數位孿生（Digital Twin）與 AI 模擬技術。他們的核心願景，是讓 AI 不只存在雲端，而能在真實世界中運作——成為「實體 AI (Physical AI)」的推進者。 他們的技術能將 CAD 檔案在短時間內轉換成高擬真的 3D 虛擬工廠，結合 AI 模型模擬生產流程，幫助半導體與製造大廠快速測試與優化產線布局。這家公司在短短兩年內，即與全球科技巨頭展開合作，並在 NVIDIA 創辦人黃仁勳的 Keynote 中多次被點名。 目前團隊正邁入「技術產品化」關鍵階段，準備將實驗室成果轉化為可大規模商用的平台。這個職位將是其中的關鍵推手。 工作內容 作為團隊的 全端架構專家（Full-Stack Expert），你將負責主導公司核心產品的系統重構與平台化，讓原型程式變成可擴展、可維護、可交付的商業級應用。 你將與 CTO 密切合作，並在團隊中扮演「技術領航者」的角色，影響產品架構決策與後端技術方向。 具體工作包含： 重構公司核心產品（3D數位孿生＋AI整合平台）的架構，導入系統化設計 建立高效能後端服務與 API，確保平台穩定性與可擴展性 將現有模組平台化，打造多租戶 SaaS 架構 參與 Windows / 桌面應用程式開發與整合（若無經驗可由團隊支援） 與前端、數位孿生工程師及 AI 團隊協作，將模擬技術轉化為可商用的雲端平台 未來有機會成為 Team Lead，領導全端工程方向使用技術 後端主軸：Python（必須具備專家級掌握度） 架構設計：REST / gRPC / WebSocket API、模組化 SaaS、微服務架構 資料庫：PostgreSQL、MongoDB、Redis 部署技術：Docker、Kubernetes、CI/CD、自動化佈署 應用開發：Windows 桌面應用、Web UI 協作工具：Git、Cloud 平台