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【職位概述】 Tricuss (十論科技) 致力於顛覆傳統研發流程（Revolutionize RD）。旗艦產品「企業級 Co-researcher AI Agent」為自主虛擬科學家，融合 Agentic AI、大數據與物理模擬，能自主設計假說、推演，並自動檢索論文與內部資料以加速研發探索。 我們將系統與「物理基礎數位孿生（Physics-based Digital Twins）」深度結合，專為地端（On-premise）與封閉網路（Air-gapped）高資安客戶打造，實現最高千倍加速並減少 70% 實體實驗。目前我們與 NVIDIA、Qualcomm、Intel 及世界頂尖半導體與 AI 伺服器供應鏈的客戶們密切合作，邀您共同定義下一代研發標準。 身為後端工程師，您將與創辦團隊及產品、AI 核心成員緊密協作，負責開發、實作並維護產品的後端服務與 API。我們是非常早期的團隊，您將直接參與真實 production 系統的建置與決策，從一開始就擁有自己負責的模組，並在快速迭代中累積系統設計、大數據與 AI 代理整合的實戰經驗。我們以實作能力與學習速度為主要評斷標準，不以年資數字設限。 【主要職責】 後端服務開發： 使用 Node.js 與 TypeScript 開發高效、穩定的後端服務與功能模組。撰寫具備高可讀性、高維護性的程式碼，穩健支撐持續增長的業務邏輯與資料處理需求。 API 設計與前後端協作： 設計並實作高效的 RESTful API，與前端工程師密切協作，確保系統功能無縫對接，並逐步參與與企業客戶內部系統及第三方工具的資料對接。 資料庫操作與效能優化： 負責 MongoDB 資料庫的結構設計與資料存取（使用 Mongoose），進行索引優化與慢查詢排查，確保資料讀寫的正確性與效能。 大數據與 AI 整合協作（核心成長方向）： 作為應用程式層與底層資料服務的橋樑，協助開發後端服務與 API，將前沿的 AI 代理技術整合進產品中——包含 RAG（檢索增強生成）檢索、向量資料庫，以及與 Hadoop、Apache Iceberg、Apache Spark 等大數據生態系的介接。 程式碼品質與效能突破： 撰寫單元測試 (Unit Testing)、積極參與程式碼審查 (Code Review)，定位並協助解決系統瓶頸與非同步阻塞，確保服務的高可用性與擴展性。 地端部署與容器化協作： 與 DevOps 團隊配合，了解應用程式的容器化配置 (Docker) 與地端部署流程，逐步熟悉封閉網路 (Air-gapped) 環境下的交付與橫向擴展實務。 === 【Position Overview】 Tricuss is on a mission to revolutionize RD. Our flagship enterprise-grade Co-researcher AI Agent is an autonomous virtual scientist fusing Agentic AI, big data, and physics simulation to formulate and reason through hypotheses, while automatically retrieving papers and internal data to accelerate RD. Deeply integrated with Physics-based Digital Twins and purpose-built for on-premise, air-gapped, high-security customers, it delivers up to 1000x acceleration and cuts physical experiments by 70%. We work closely with customers across NVIDIA, Qualcomm, Intel, and the world's leading semiconductor and AI server supply chains—join us in defining the next generation of RD standards. As a Backend Engineer, you'll work with the founding team and core product and AI members to develop and maintain the backend services and APIs powering our product. As a very early-stage team, you'll build and own real production modules from day one, gaining hands-on experience in system design, big data, and AI agent integration through rapid iteration. We evaluate on hands-on ability and learning speed—not years of experience. 【Key Responsibilities】 Backend Service Development: Build high-performance, reliable backend services and modules with Node.js and TypeScript. Write readable, maintainable code that robustly supports growing business logic and data-processing needs. API Design Front-End/Back-End Collaboration: Design and implement efficient RESTful APIs, working closely with front-end engineers for seamless integration, and gradually take on data integration with enterprise customers' internal systems and third-party tools. Database Operations Performance Optimization: Own MongoDB schema design and data access (via Mongoose), optimize indexes, troubleshoot slow queries, and ensure correct, performant reads and writes. Big Data AI Integration (Core Growth Track): Bridge the application layer and underlying data services, helping build backend services and APIs that integrate cutting-edge AI agent tech—including RAG (Retrieval-Augmented Generation), vector databases, and connections to big data ecosystems like Hadoop, Apache Iceberg, and Apache Spark. Code Quality Performance Breakthroughs: Write unit tests, actively join code reviews, and identify and help resolve system bottlenecks and async blocking to ensure high availability and scalability. On-Premise Deployment Containerization: Work with DevOps to learn application containerization (Docker) and on-premise deployment, progressively gaining hands-on familiarity with delivery and horizontal scaling in air-gapped environments.

【職位概述】 Tricuss (十論科技) 致力於顛覆傳統研發流程（Revolutionize RD）。旗艦產品「企業級 Co-researcher AI Agent」為自主虛擬科學家，融合 Agentic AI、大數據與物理模擬，能自主設計假說、推演，並自動檢索論文與內部資料以加速研發探索。 我們將系統與「物理基礎數位孿生（Physics-based Digital Twins）」深度結合，專為地端（On-premise）與封閉網路（Air-gapped）高資安客戶打造，實現最高千倍加速並減少 70% 實體實驗。目前我們與 NVIDIA、Qualcomm、Intel 及世界頂尖半導體與 AI 伺服器供應鏈的客戶們密切合作，邀您共同定義下一代研發標準。 身為前端工程師，您將是把強大但複雜的 AI 研發能力，轉化為使用者真正信賴的產品介面的關鍵推手。我們的使用者是嚴謹、精準的半導體與材料科學家——他們要的不是花俏的介面，而是能可靠呈現海量製程資料、複雜模擬結果與研究洞察，讓他們快速做出決策的工具。隨著 Co-researcher 平台功能擴張，您將負責用 React + TypeScript 開發並擴展多個資料密集的產品介面（內部管理後台、客戶端 Web App、代理工作流介面、報告生成），把工程級的資料密度與一流的使用體驗同時做到位，並與設計團隊共同打造可長期維護的 design system。 【主要職責】 產品介面開發與擴展： 使用 TypeScript + React.js + Next.js（含 App Router、SSR / SSG）開發與擴展多個產品介面，涵蓋內部管理後台、客戶端 Web App、AI 代理工作流介面與報告生成模組，確保高效能與一致的使用體驗。 資料密集介面打造： 開發資料密集的管理後台——大型表格（可達數千列）、複雜的過濾與排序、即時資料更新與串流，將複雜的模擬結果與研究數據以清晰、可操作的方式呈現給工程師使用者。 設計稿高還原與元件化： 與設計團隊定期走查設計稿，把 Figma 設計準確還原為高品質、可維護、可重用的 React 元件，雙向協作完善 design system 與元件規範。 前端效能優化： 針對大量 DOM 與即時資料場景，運用虛擬化（virtualization）、memoization、bundle size 分析與 React Profiler 等手段，持續優化渲染效能並排除潛在瓶頸。 前後端協作與整合： 與後端工程團隊（TypeScript + Node.js + MongoDB）緊密協作，串接 RESTful API，共同定義資料介面契約，確保功能完整且穩定的端到端體驗。 工程品質與可維護性： 撰寫清晰、可測試、可維護的程式碼，建立與維護單元測試（Vitest / Jest / Testing Library），並協助把前端某一產品領域的標準與最佳實踐沉澱下來。 === 【Position Overview】 Tricuss is on a mission to revolutionize RD. Our flagship enterprise-grade Co-researcher AI Agent is an autonomous virtual scientist that fuses Agentic AI, big data, and physics simulation to formulate and reason through hypotheses on its own, while auto-retrieving global academic papers and internal data to accelerate RD. Built on Physics-based Digital Twins for on-premise and air-gapped, high-security customers, it delivers up to 1000x acceleration and cuts physical experiments by 70%. We work closely with customers across NVIDIA, Qualcomm, Intel, and the world's leading semiconductor and AI server supply chains—come help define the next generation of RD standards. As a Frontend Engineer, you'll turn powerful but complex AI RD capabilities into product interfaces users genuinely trust. Our users are rigorous semiconductor and materials scientists who don't want flashy UI—they want tools that reliably present massive process datasets, complex simulation results, and research insights for fast decisions. As the Co-researcher platform expands, you'll build and scale multiple data-intensive interfaces with React + TypeScript (internal admin consoles, client-facing Web Apps, agent workflow UIs, report generation), pairing engineering-grade data density with a best-in-class experience and partnering with design on a maintainable, long-lived design system. 【Key Responsibilities】 Product interface development and scaling: Build and scale multiple interfaces in TypeScript + React.js + Next.js (App Router, SSR / SSG)—internal admin consoles, client-facing Web Apps, AI agent workflow UIs, and report generation—with high performance and a consistent experience. Building data-intensive interfaces: Develop data-intensive admin consoles—large tables (up to thousands of rows), complex filtering and sorting, real-time updates and streaming—presenting complex simulation results and research data to engineers clearly and actionably. High-fidelity design implementation and componentization: Review designs regularly with the design team, faithfully translate Figma into high-quality, maintainable, reusable React components, and collaborate to refine the design system and component standards. Frontend performance optimization: For large-DOM and real-time scenarios, optimize rendering and remove bottlenecks via virtualization, memoization, bundle size analysis, and the React Profiler. Frontend–backend collaboration and integration: Work closely with the backend team (TypeScript + Node.js + MongoDB), integrate RESTful APIs, jointly define data interface contracts, and ensure a stable end-to-end experience. Engineering quality and maintainability: Write clear, testable, maintainable code, build and maintain unit tests (Vitest / Jest / Testing Library), and help codify standards and best practices for a frontend product domain.

【職位概述】 Tricuss (十論科技) 致力於顛覆傳統研發流程（Revolutionize RD）。旗艦產品「企業級 Co-researcher AI Agent」為自主虛擬科學家，融合 Agentic AI、大數據與物理模擬，能自主設計假說、推演，並自動檢索論文與內部資料以加速研發探索。 我們將系統與「物理基礎數位孿生（Physics-based Digital Twins）」深度結合，專為地端（On-premise）與封閉網路（Air-gapped）高資安客戶打造，實現最高千倍加速並減少 70% 實體實驗。目前我們與 NVIDIA、Qualcomm、Intel 及世界頂尖半導體與 AI 伺服器供應鏈的客戶們密切合作，邀您共同定義下一代研發標準。 身為專案經理，您將是公司產品交付與客戶專案的核心驅動者。您負責企業級客戶導入專案的全程規劃與管理，串接客戶端與內部產品、工程、AI 及客戶成功團隊，確保我們的 Co-researcher AI Agent 能在嚴苛的地端環境中按時、按質、按預算順利落地。我們是非常早期的團隊，您將從零建立可延展的專案管理制度與節奏，並在面對企業客戶複雜需求與封閉網路限制時，主動釐清問題、協調資源、推動專案前進。我們以實作能力與落地執行力為主要評斷標準。 【主要職責】 專案全程規劃與交付管理： 負責企業客戶導入專案與內部產品專案的全程規劃與管理，制定明確的專案目標、時間表、資源需求與風險控制計畫，確保專案按時、按質、按預算交付。 跨部門協調與推動： 與產品、工程、AI、客戶成功等跨部門團隊密切協作，打破部門壁壘，協調各方資源與時間表，推動專案各環節順利執行。 進度監控與風險管理： 定期追蹤專案進展，建立進度與風險的可視化追蹤機制，靈活調整策略，及早辨識並解決潛在問題與挑戰，確保專案不偏離軌道。 客戶與利害關係人溝通： 擔任客戶與內部團隊之間的關鍵溝通樞紐，維繫良好的溝通管道，深入傾聽並整合企業客戶（如半導體與高資安客戶）的需求，協助解決導入過程中的各項問題。 專案報告與呈報： 準備並呈報專案狀況報告，清晰提供進度更新、風險評估與改進建議，讓決策者與利害關係人能快速掌握全局。 流程建立與持續優化： 從零盤點並設計可延展的專案管理流程與標準作業範本，導入合適的專案管理工具與方法，持續降低跨部門協作的溝通成本與作業錯誤率。 === 【Position Overview】 Tricuss is on a mission to revolutionize RD. Our flagship enterprise-grade Co-researcher AI Agent is an autonomous virtual scientist fusing Agentic AI, big data, and physics simulation to independently formulate and reason through hypotheses, while auto-retrieving papers and internal data to accelerate RD. Deeply integrated with Physics-based Digital Twins and purpose-built for on-premise and air-gapped, high-security customers, it delivers up to 1000x acceleration and cuts physical experiments by 70%. We work closely with customers across NVIDIA, Qualcomm, Intel, and the world's leading semiconductor and AI server supply chains—come help define the next generation of RD standards. As a Project Manager, you will be a core driver of our product delivery and customer engagements. You will own end-to-end planning and management of enterprise deployment projects, bridging customers with internal Product, Engineering, AI, and Customer Success teams to land our Co-researcher AI Agent on time, on quality, and on budget within demanding on-premise environments. As a very early-stage team, you will build scalable PM practices and cadence from the ground up—clarifying problems, coordinating resources, and driving projects forward amid complex enterprise requirements and air-gapped constraints. We evaluate primarily on hands-on capability and execution. 【Key Responsibilities】 End-to-end planning and delivery: Own full-lifecycle planning and management of enterprise deployment and internal product projects, defining clear goals, timelines, resource needs, and risk controls to deliver on time, on quality, and on budget. Cross-functional coordination: Partner closely with Product, Engineering, AI, and Customer Success teams, breaking down silos and aligning resources and schedules to drive every phase forward. Progress tracking and risk management: Track progress on a regular cadence, build visible progress and risk tracking, adapt strategies flexibly, and surface and resolve issues early to keep projects on track. Customer and stakeholder communication: Serve as the key hub between customers and internal teams, maintaining strong channels, integrating enterprise customer needs (e.g., semiconductor and high-security), and resolving deployment issues. Reporting and presentation: Prepare and present status reports with clear progress updates, risk assessments, and recommendations so decision-makers and stakeholders grasp the full picture fast. Process building and improvement: Audit and design scalable PM processes and SOP templates from scratch, introduce the right tools and methods, and continuously cut cross-functional communication cost and error rate.

【職位概述】 Tricuss (十論科技) 致力於顛覆傳統研發流程（Revolutionize RD）。旗艦產品「企業級 Co-researcher AI Agent」為自主虛擬科學家，融合 Agentic AI、大數據與物理模擬，能自主設計假說、推演，並自動檢索論文與內部資料以加速研發探索。 我們將系統與「物理基礎數位孿生（Physics-based Digital Twins）」深度結合，專為地端（On-premise）與封閉網路（Air-gapped）高資安客戶打造，實現最高千倍加速並減少 70% 實體實驗。目前我們與 NVIDIA、Qualcomm、Intel 及世界頂尖半導體與 AI 伺服器供應鏈的客戶們密切合作，邀您共同定義下一代研發標準。 身為行銷專員，您將是推動我們企業級軟體產品落地市場與放大品牌聲量的執行核心。您將直接與創辦團隊、業務與產品團隊緊密協作，建立並執行公司的市場成長策略與品牌聲量。這是一個賦予高度自主性的角色，適合具備強烈企圖心、渴望在實戰中學習的行銷新鮮人或初階人才。您將有機會親手打造從內容行銷、活動策劃到數據分析的完整流程，深入理解前瞻 B2B 技術的市場脈動。我們期待您擁有獨立思考與執行能力、主動學習的熱情與細膩的溝通能力，願意鑽研深奧的 AI 技術與地端架構，與我們共同開創並定義 Tricuss 的行銷藍圖。 【主要職責】 行銷活動策劃與執行： 負責規劃並執行端到端的行銷與上市活動 (Go-to-Market, GTM)，針對目標客群與買家輪廓，操作多元行銷管道，確保行銷漏斗各階段的活動順暢運作，包含線上廣告投放、社群經營、電子報 (EDM) 等，獨立推動專案落地。 內容策略與產出： 主導各類行銷內容的產出與編修，包含部落格文章、社群貼文、產品文案與簡報。將技術團隊的專業知識轉化為精準且易讀的行銷素材，並管理官網與內容資料庫。 需求挖掘與潛在客戶開發 (Demand Generation)： 負責線上與線下行銷活動的具體執行，包含內容上架、廣告投放操作、電子報（EDM）發送等，建立並優化潛在客戶 (Leads) 的開發與管理流程，包含名單的匯入、清理、分群，並設計與執行名單培育 (Lead Nurturing) 策略，提升行銷合格潛在客戶 (MQL) 的質與量，並協助追蹤名單轉換狀況。 活動與展會策劃： 負責各類實體與線上活動的籌備與現場執行，包含資安與技術研討會、大型產業參展及線上網路研討會（Webinars）的行政、物流、講者協調與導流作業。 銷售賦能 (Sales Enablement)： 協助業務與技術顧問團隊維護第一線的作戰工具，製作並持續更新銷售簡報 (Pitch Decks)、常見問題解答 (FAQ)、競品分析、產品文宣等銷售工具，為業務團隊提供有力的市場作戰資源。 行銷數據分析與優化： 負責行銷工具（如 CRM、行銷自動化系統、網站分析工具）的日常操作與維護。定期追蹤並統整各渠道的流量、轉換率與活動成效，產出數據報告以供團隊優化決策。 MarTech 工具導入與管理： 負責評估、導入與維護客戶關係管理系統等行銷科技工具，確保行銷流程的自動化與數據完整性。 === 【Position Overview】 Tricuss is on a mission to revolutionize RD. Our flagship enterprise-grade Co-researcher AI Agent is an autonomous virtual scientist that fuses Agentic AI, big data, and physics simulation to formulate and reason through hypotheses, while auto-retrieving global academic papers and internal data to accelerate RD. Deeply integrated with Physics-based Digital Twins and purpose-built for on-premise, air-gapped, high-security customers, it delivers up to 1000x acceleration and cuts physical experiments by 70%. We work closely with customers across NVIDIA, Qualcomm, Intel, and the world's leading semiconductor and AI server supply chains—and invite you to help define the next generation of RD standards. As a Marketing Specialist, you are the execution core driving our enterprise software to market and amplifying our brand. Working hand-in-hand with the founding, sales, and product teams, you will help build and execute our market growth strategy and brand voice. This highly autonomous role suits an ambitious marketing newcomer or junior hire eager to learn by doing. You will build complete workflows from scratch—content marketing, event planning, and data analytics—and gain deep insight into the dynamics behind cutting-edge B2B technology. We seek independent thinking and execution, a genuine passion for learning, and thoughtful communication, plus the willingness to dig into sophisticated AI technology and on-premise architecture and help shape Tricuss's marketing blueprint. 【Key Responsibilities】 Campaign Planning Execution: Plan and execute end-to-end marketing and Go-to-Market (GTM) campaigns across diverse channels tailored to target audiences and buyer personas, ensuring smooth flow through every funnel stage—online ads, social media, email newsletters (EDM)—and independently driving projects to completion. Content Strategy Production: Lead the creation and editing of marketing content—blog articles, social posts, product copy, and presentations. Translate the technical team's expertise into precise, readable assets, and manage the website and content library. Demand Generation: Execute online and offline activities—content publishing, ad operations, email (EDM). Build and optimize lead generation and management (import, cleansing, segmentation), and design and run Lead Nurturing to improve the quality and quantity of Marketing Qualified Leads (MQL) while tracking conversion. Event Trade Show Planning: Manage preparation and on-site execution of physical and online events—handling administration, logistics, speaker coordination, and audience generation for cybersecurity and technical seminars, major industry trade shows, and Webinars. Sales Enablement: Help sales and technical consulting teams maintain frontline selling tools—creating and updating Pitch Decks, FAQs, competitive analyses, and product collateral—to equip the team with strong go-to-market resources. Marketing Analytics Optimization: Operate and maintain marketing tools (CRM, marketing automation, website analytics). Regularly track and consolidate traffic, conversion rates, and campaign performance across channels, producing data reports to guide optimization. MarTech Adoption Management: Evaluate, implement, and maintain marketing technology such as CRM systems, ensuring marketing process automation and data integrity.

【職位概述】 Tricuss (十論科技) 致力於顛覆傳統研發流程（Revolutionize RD）。旗艦產品「企業級 Co-researcher AI Agent」為自主虛擬科學家，融合 Agentic AI、大數據與物理模擬，能自主設計假說、推演，並自動檢索論文與內部資料以加速研發探索。 我們將系統與「物理基礎數位孿生（Physics-based Digital Twins）」深度結合，專為地端（On-premise）與封閉網路（Air-gapped）高資安客戶打造，實現最高千倍加速並減少 70% 實體實驗。目前我們與 NVIDIA、Qualcomm、Intel 及世界頂尖半導體與 AI 伺服器供應鏈的客戶們密切合作，邀您共同定義下一代研發標準。 身為 AI 前線部署工程師 (FDE)，您將是我們核心技術團隊與頂級企業客戶之間的關鍵橋樑。FDE 結合了頂尖軟體工程師的實作能力與技術顧問的商業敏銳度。您將親臨前線（或深度線上協作），深入了解客戶最棘手的研發與業務痛點，並運用我們的 Co-researcher 平台為他們量身打造並部署解決方案。您不會只在後台寫程式，您將直接看見您的程式碼如何徹底顛覆大型企業的研發運作方式，並將前線的寶貴回饋直接帶回給我們的核心產品團隊。 【主要職責】 端到端解決方案交付： 深入了解企業客戶的 RD 流程與業務痛點，利用我們的 Agentic AI 平台設計、開發並部署客製化的 Co-researcher AI 代理與工作流程。 企業系統深度整合： 將我們的 AI 平台與客戶現有的企業內部系統（如專有研究資料庫、內部 API、Hadoop/Iceberg 大數據生態系）進行無縫且高度安全的整合。 AI 效能優化： 針對特定研發場景設計並優化 AI 檢索架構、撰寫複雜的 Prompt 策略，並調整多代理協作 (Multi-Agent Orchestration) 的邏輯，確保 AI 輸出的準確度與穩定性。 主導概念驗證 (PoC)： 帶領技術 PoC 專案，在短時間內於客戶的地端或封閉網路環境中展示千倍模擬加速與實驗減少的產品價值，協助業務團隊贏得企業客戶信任。 產品迴圈樞紐： 將前線遇到的技術瓶頸、客戶新需求與實驗場景，轉化為具體的工程規格，回饋給核心產品研發團隊，共同制定產品藍圖。 客戶技術賦能： 為客戶的研發與技術團隊提供教育訓練與技術指導，確保 AI 解決方案能成功落地並持續運作。 === 【Position Overview】 Tricuss is on a mission to revolutionize RD. Our flagship enterprise-grade Co-researcher AI Agent is an autonomous virtual scientist fusing Agentic AI, big data, and physics simulation—formulating and reasoning through hypotheses while auto-retrieving papers and internal data to accelerate RD. We deeply integrate it with Physics-based Digital Twins, purpose-built for on-premise and air-gapped, high-security customers—delivering up to 1000x acceleration and 70% fewer physical experiments. We work closely with customers across NVIDIA, Qualcomm, Intel, and the world's leading semiconductor and AI server supply chains. Join us to help define the next generation of RD standards. As an AI Forward Deployed Engineer (FDE), you'll be the critical bridge between our core engineering team and top-tier enterprise customers—combining an elite engineer's hands-on execution with a technical consultant's business acumen. Working the front lines (on-site or in close online collaboration), you'll dive into customers' toughest RD and business pain points and use our Co-researcher platform to tailor and deploy solutions. You won't just write code behind the scenes—you'll see it transform how large enterprises run RD, and carry frontline feedback straight back to our core product team. 【Key Responsibilities】 End-to-End Solution Delivery: Understand enterprise customers' RD processes and pain points, then use our Agentic AI platform to design, build, and deploy customized Co-researcher AI agents and workflows. Deep Enterprise System Integration: Seamlessly and securely integrate our AI platform with customers' internal systems (proprietary research databases, internal APIs, Hadoop/Iceberg big data ecosystems). AI Performance Optimization: Design and optimize AI retrieval architectures for specific RD scenarios, craft sophisticated prompt strategies, and tune Multi-Agent Orchestration to ensure accurate, reliable AI outputs. Lead Proofs of Concept (PoC): Drive technical PoCs that quickly demonstrate 1000x simulation acceleration and experiment reduction in customers' on-premise or air-gapped environments—helping sales earn enterprise trust. Product Feedback Hub: Translate frontline bottlenecks, emerging customer needs, and real-world experiment scenarios into concrete engineering specs, feeding them back to shape the product roadmap. Customer Technical Enablement: Train and guide customers' RD and technical teams to ensure AI solutions are successfully adopted and run smoothly.

【職位概述】 Tricuss (十論科技) 致力於顛覆傳統研發流程（Revolutionize RD）。旗艦產品「企業級 Co-researcher AI Agent」為自主虛擬科學家，融合 Agentic AI、大數據與物理模擬，能自主設計假說、推演，並自動檢索論文與內部資料以加速研發探索。 我們將系統與「物理基礎數位孿生（Physics-based Digital Twins）」深度結合，專為地端（On-premise）與封閉網路（Air-gapped）高資安客戶打造，實現最高千倍加速並減少 70% 實體實驗。目前我們與 NVIDIA、Qualcomm、Intel 及世界頂尖半導體與 AI 伺服器供應鏈的客戶們密切合作，邀您共同定義下一代研發標準。 身為 AI 工程師，您將是打造我們旗艦產品「企業級 Co-researcher AI Agent」的核心推手。我們的產品不僅僅是回答問題的聊天機器人，而是具備深度邏輯推理、自主實驗與數據探勘能力的虛擬資料科學家與研究夥伴。您的挑戰在於研發並優化結合大型語言模型 (LLM) 與傳統機器學習 (ML) 的複合型 AI 代理 (AI Agent)，使其能自主提出假設、設計實驗、操作 ML 模型，並與企業內部由 Hadoop、Apache Iceberg、Apache Spark 及 ETL 構建的大數據生態系進行深度交互。您必須確保這個強大的系統能在嚴格的合規標準與封閉網路下安全運行，為客戶產出具備極高商業與研發價值的洞察。 【主要職責】 Co-researcher AI 代理大腦開發： 設計並實作具備複雜研發任務拆解、長期記憶與跨領域邏輯推理能力的 Co-researcher 核心架構。確保 AI 代理能自主理解企業業務痛點，主動制定研究計畫、調用各類分析工具，並綜合歸納出具策略意義的洞察報告。 ML Agent 研發與自動化機器學習 (AutoML) 整合： 開發專注於機器學習任務的 ML Agent，使其能自主執行資料預處理、特徵工程 (Feature Engineering)、模型訓練、超參數調優與模型評估。將傳統 ML 框架（如 Scikit-learn, XGBoost, PyTorch）無縫封裝為 AI 代理可靈活調用的工具 (Tools/Skills)。 大數據生態系與 AI 管線深度結合： 與資料工程及後端團隊緊密合作，利用 ETL 與 Apache Spark 等工具建立自動化的資料萃取與清洗管線。確保 Co-researcher 與 ML Agent 能即時存取、分析並處理儲存於 Hadoop 與 Iceberg 中的海量結構化與非結構化企業級數據。 進階 AI 檢索系統與向量工程： 針對企業內部專有文獻、研究報告與海量日誌，設計並優化檢索系統。建置高效能的向量資料庫 (如 Milvus, Qdrant)，實作混合檢索、語意路由與重排序策略，為 Co-researcher 提供精準的知識檢索底層支援。 地端大語言模型 (LLM) 部署與推論優化： 針對無法連網的高資安地端環境，負責開源大語言模型的評估與私有化部署。利用 vLLM 等推論引擎進行模型量化與效能調優，確保 Co-researcher 在邊緣或地端伺服器上能維持極低的延遲與高吞吐量。 AI 與 ML 資訊安全防護實作： 將資安思維融入 AI 與 ML 模型開發的每個環節。實作企業級資料脫敏、個人機密資訊 (PII) 過濾機制，防範模型毒化 (Data Poisoning) 與提示詞注入 (Prompt Injection)，確保 AI 代理的所有研究行為與資料存取絕對符合企業權限規範 (RBAC) 與零信任架構。 === 【Position Overview】 Tricuss is on a mission to revolutionize RD. Our flagship enterprise-grade Co-researcher AI Agent is an autonomous virtual scientist fusing Agentic AI, big data, and physics simulation to formulate and reason through hypotheses on its own, while auto-retrieving papers and internal data to accelerate RD. Integrated with Physics-based Digital Twins and purpose-built for on-premise and air-gapped, high-security customers, it delivers up to 1000x acceleration and 70% fewer physical experiments. We work with NVIDIA, Qualcomm, Intel, and the world's top semiconductor and AI server supply chains—come help define the next generation of RD standards. As an AI Engineer, you'll drive this flagship product—not a chatbot, but a virtual data scientist with deep reasoning, autonomous experimentation, and data-mining skills. You'll build and optimize a hybrid AI Agent combining LLMs with traditional ML that autonomously proposes hypotheses, designs experiments, operates ML models, and interacts deeply with the enterprise big-data ecosystem (Hadoop, Apache Iceberg, Apache Spark, ETL)—running securely under strict compliance and air-gapped networks to produce high-value commercial and RD insights. 【Key Responsibilities】 Co-researcher Agent "Brain" Development: Build the core architecture for decomposing complex RD tasks, long-term memory, and cross-domain reasoning, so the Agent can grasp enterprise pain points, formulate research plans, invoke analytical tools, and synthesize strategic insight reports. ML Agent and AutoML Integration: Build an ML Agent that autonomously runs data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation, wrapping traditional ML frameworks (Scikit-learn, XGBoost, PyTorch) into tools/skills it can flexibly invoke. Big-Data Ecosystem and AI Pipeline Integration: Partner with data engineering and backend teams to build automated extraction and cleansing pipelines (ETL, Apache Spark), enabling the Co-researcher and ML Agent to access and process massive structured and unstructured data in Hadoop and Iceberg in real time. Advanced AI Retrieval and Vector Engineering: Design and optimize retrieval over proprietary literature, reports, and logs; build high-performance vector databases (Milvus, Qdrant) with hybrid retrieval, semantic routing, and re-ranking for precise knowledge retrieval. On-premise LLM Deployment and Inference Optimization: Evaluate and privately deploy open-source LLMs for offline, high-security environments, using engines such as vLLM for quantization and tuning to keep latency low and throughput high on edge or on-premise servers. AI and ML Security: Embed security into every stage of development—enterprise-grade data masking and PII filtering, defense against data poisoning and prompt injection—ensuring all Agent research and data access comply with enterprise permissions (RBAC) and zero-trust architecture.

【職位概述】 Tricuss (十論科技) 致力於顛覆傳統研發流程（Revolutionize RD）。旗艦產品「企業級 Co-researcher AI Agent」為自主虛擬科學家，融合 Agentic AI、大數據與物理模擬，能自主設計假說、推演，並自動檢索論文與內部資料以加速研發探索。 我們將系統與「物理基礎數位孿生（Physics-based Digital Twins）」深度結合，專為地端（On-premise）與封閉網路（Air-gapped）高資安客戶打造，實現最高千倍加速並減少 70% 實體實驗。目前我們與 NVIDIA、Qualcomm、Intel 及世界頂尖半導體與 AI 伺服器供應鏈客戶密切合作，邀您共同定義下一代研發標準。 身為 DevOps 工程師，您將是確保我們的企業級產品能在最高安全規格的地端環境 (On-premises) 中穩定運行的核心守門員。由於我們的客戶群高度重視資訊安全與資料隱私，您將專注於將「安全性 (Security)」深植於基礎架構與自動化流程的每一個環節，實踐真正的 DevSecOps 理念。您必須具備深厚的作業系統、網路與地端叢集管理底蘊，負責設計並維護即使在封閉網路 (Air-gapped) 或高監管環境下，依然能高效交付、嚴密監控且具備高度防禦力的系統架構。 【主要職責】 地端架構設計與自動化部署： 負責企業客戶地端 (On-premise) 基礎架構的評估與建置規劃，涵蓋裸機 (Bare Metal)、企業級虛擬化環境 (如 VMware) 及地端 Kubernetes 叢集 (如 Rancher, OpenShift, Kubespray) 的自動化配置與生命週期管理。 DevSecOps 與企業級安全合規： 將極致的資安標準無縫整合至軟體開發生命週期 (SDLC)。實施源碼掃描 (SAST/DAST)、軟體物料清單 (SBOM) 管理與容器弱點掃描，並積極配合企業客戶進行滲透測試、漏洞修補與資安合規稽核 (如 ISO 27001, 零信任架構)。 封閉網路 (Air-gapped) CI/CD 管線建置： 設計並維護適用於無網際網路連線或高資安限制環境的持續整合與持續交付流程。自建並管理內網專用的程式碼代管與軟體資源庫 (如 Self-hosted GitLab, Harbor, Nexus)，確保交付過程的高效與絕對安全。 系統網路安全與存取控制： 嚴格設計系統邊界與內部網路的防護機制。設定防火牆規則、網路隔離 (Network Segmentation)、反向代理 (Reverse Proxy)，並落實基於角色的存取控制 (RBAC) 與最小權限原則 (PoLP)，防止未授權的橫向移動與資料外洩。 地端系統可觀測性與日誌稽核： 建置可完全獨立運作的地端監控、日誌收集與分析平台 (如 Prometheus, Grafana, ELK/EFK Stack)。確保所有系統行為、API 呼叫與管理員操作皆具備完整的軌跡紀錄 (Audit Trails)，並設計符合企業資安規範的即時告警機制。 軟體交付與升級機制封裝： 針對地端環境的特殊性，將複雜的微服務架構封裝為易於交付、安裝與驗證的格式 (如 Helm Charts, 離線安裝包、OVA 映像檔)。建立標準化的部署手冊，確保產品能在客戶端環境中平滑升級、降版與災難復原。 === 【Position Overview】 Tricuss is on a mission to revolutionize RD. Our flagship product, the enterprise-grade Co-researcher AI Agent, is an autonomous virtual scientist fusing Agentic AI, big data, and physics simulation to independently formulate and reason through hypotheses, while auto-retrieving papers and internal data to accelerate RD. Deeply integrated with Physics-based Digital Twins, it is purpose-built for on-premise and air-gapped, high-security customers—delivering up to 1000x acceleration and cutting physical experiments by 70%. We work closely with customers across NVIDIA, Qualcomm, Intel, and the world's leading semiconductor and AI server supply chains, and invite you to help define the next generation of RD standards. As a DevOps Engineer, you are the core gatekeeper keeping our enterprise product running reliably in on-premises environments held to the highest security standards. Because our customers place enormous value on information security and data privacy, you will embed "Security" into every layer of infrastructure and automation—putting true DevSecOps into practice. You bring deep expertise in operating systems, networking, and on-premise cluster management, and will design and maintain architectures that stay efficient to deliver, rigorously monitored, and strongly defensible even in air-gapped or heavily regulated environments. 【Key Responsibilities】 On-premise architecture design and automated deployment: Own assessment and build planning for enterprise customers' on-premise infrastructure—covering automated provisioning and lifecycle management across bare metal, enterprise virtualization (e.g., VMware), and on-premise Kubernetes clusters (e.g., Rancher, OpenShift, Kubespray). DevSecOps and enterprise-grade security compliance: Integrate uncompromising security into the SDLC. Implement source code scanning (SAST/DAST), SBOM management, and container vulnerability scanning, while supporting customers through penetration testing, vulnerability remediation, and compliance audits (e.g., ISO 27001, Zero Trust). Air-gapped CI/CD pipeline development: Design and maintain CI/CD pipelines for environments with no internet connectivity or stringent security constraints. Build and operate self-hosted, intranet-only code hosting and repositories (e.g., Self-hosted GitLab, Harbor, Nexus) to keep delivery both efficient and absolutely secure. System network security and access control: Rigorously design protections for system boundaries and internal networks. Configure firewall rules, network segmentation, and reverse proxies, and enforce RBAC and the principle of least privilege (PoLP) to prevent unauthorized lateral movement and data exfiltration. On-premise system observability and log auditing: Build fully self-contained on-premise monitoring, log collection, and analytics platforms (e.g., Prometheus, Grafana, ELK/EFK Stack). Ensure all system behaviors, API calls, and admin actions are captured in audit trails, and design real-time alerting that meets enterprise security requirements. Software delivery and upgrade packaging: Package complex microservice architectures into formats easy to deliver, install, and validate for on-premise environments (e.g., Helm Charts, offline bundles, OVA images). Establish standardized deployment runbooks for smooth upgrades, rollbacks, and disaster recovery in customer environments.

【職位概述】 Tricuss (十論科技) 致力於顛覆傳統研發流程（Revolutionize RD）。旗艦產品「企業級 Co-researcher AI Agent」為自主虛擬科學家，融合 Agentic AI、大數據與物理模擬，能自主設計假說、推演，並自動檢索論文與內部資料以加速研發探索。 我們將系統與「物理基礎數位孿生（Physics-based Digital Twins）」深度結合，專為地端（On-premise）與封閉網路（Air-gapped）高資安客戶打造，實現最高千倍加速並減少 70% 實體實驗。目前我們與 NVIDIA、Qualcomm、Intel 及世界頂尖半導體與 AI 伺服器供應鏈的客戶們密切合作，邀您共同定義下一代研發標準。 身為人資專員，您將是推動公司人才招募與人事營運落地的執行核心。在公司從初創團隊（約 10 人）邁向規模化擴張（20 人以上）的關鍵階段，您將直接與創辦人（與未來的人資主管）緊密協作，把招募、到職、人事行政與企業文化活動一件件親手落地。這是一個賦予高度自主性的角色，適合具備強烈企圖心、渴望在實戰中快速成長的人資新鮮人或初階人才。您不需要先會制定龐大制度——您會在指引下執行細節，並在 0 到 1 搭建公司最基礎人事流程的過程中，長成能獨當一面的人資夥伴。我們特別重視您協助「搶奪頂尖人才」的執行力，以及在沒有既定 SOP 的模糊環境中主動學習、細膩溝通的能力。 【主要職責】 招募執行與候選人經營 (核心重心)： 支援端到端的招募流程落地。協助用人主管刊登職缺、於 LinkedIn / 104 / GitHub 及技術社群進行主動開發（Sourcing）與名單蒐集、履歷初步篩選、安排面試與技術測驗、維護應徵者追蹤系統（ATS），並負責候選人全程的聯繫與體驗，確保每位應徵者都獲得及時、專業的回覆。 到職與離職流程 (Onboarding / Offboarding)： 負責新進員工的報到準備、文件簽署、設備與帳號協調、新人引導與融入安排；處理離職員工的交接與離職手續，確保流程順暢且符合規範。 人事行政與營運支援： 負責日常出勤管理、請假與假勤紀錄維護、薪資發放所需資料整理、勞健保與相關投保作業、人事文件與勞動契約的建檔與管理，確保人事資料的正確性與完整性。 雇主品牌與招募管道執行： 協助維護並更新各招募平台的職缺內容與公司介紹，協助經營雇主品牌的日常發布（社群平台、技術社群、校園網絡），拓展並追蹤多元招募管道的成效。 員工關係與企業文化活動執行： 協助籌備並執行各類內部凝聚活動、團隊活動與內部溝通；蒐集員工回饋與團隊氛圍訊號，協助維繫開放、透明、高度參與感的早期新創文化。 人資數據維護與報表： 負責人力資源資訊系統（HRIS）的日常操作與資料維護，定期統整人員流動率、招募進度、招募成本等基礎數據，產出報表供團隊優化決策。 勞動法令遵循支援： 在主管指引下，協助確保人事作業流程符合勞基法及相關法規，留意法令動態，協助維護內部規章與工作規則的更新。 === 【Position Overview】 Tricuss is on a mission to revolutionize RD. Our flagship enterprise-grade Co-researcher AI Agent is an autonomous virtual scientist that fuses Agentic AI, big data, and physics simulation to formulate and reason through hypotheses, while auto-retrieving global academic papers and internal data to accelerate RD. Deeply integrated with Physics-based Digital Twins and purpose-built for on-premise, air-gapped, high-security customers, it delivers up to 1000x acceleration and cuts physical experiments by 70%. We work closely with customers across NVIDIA, Qualcomm, Intel, and the world's leading semiconductor and AI server supply chains—and invite you to help define the next generation of RD standards. As an HR Specialist, you are the execution core driving our talent recruiting and people-ops on the ground. At the pivotal moment we scale from a startup team (~10 people) to a fast-growing org (20+), you will work hand-in-hand with the founder (and a future Head of HR) to land recruiting, onboarding, HR administration, and culture activities—one task at a time. This highly autonomous role suits an ambitious HR newcomer or junior hire eager to grow fast by doing. You don't need to design elaborate systems first—you will execute the details under guidance and grow into a self-sufficient HR partner as we build our foundational people-ops processes from 0 to 1. We especially value your hands-on contribution to winning top-tier talent, along with the initiative to learn and the thoughtful communication needed in an ambiguous environment without established SOPs. 【Key Responsibilities】 Recruiting Execution Candidate Experience (core focus): Support end-to-end recruiting on the ground. Help hiring managers post roles; source and build candidate lists across LinkedIn, 104, GitHub, and technical communities; conduct initial résumé screening; schedule interviews and technical assessments; maintain the applicant tracking system (ATS); and own candidate communication throughout, ensuring every applicant gets a timely, professional response. Onboarding / Offboarding: Own new-hire setup—pre-boarding preparation, document signing, equipment and account coordination, and orientation and integration; handle handover and exit procedures for departing employees, keeping the process smooth and compliant. HR Administration Operations Support: Manage daily attendance, leave records, preparation of payroll data, labor and health insurance enrollment, and the filing and management of HR documents and labor contracts, ensuring accurate and complete HR data. Employer Branding Channel Execution: Help maintain and update job content and company introductions across recruiting platforms, support day-to-day employer-branding posts (social platforms, technical communities, campus networks), and expand and track the effectiveness of diverse recruiting channels. Employee Relations Culture Activities: Help prepare and run internal team-bonding activities and internal communications; gather employee feedback and morale signals to help sustain an open, transparent, highly engaged early-stage startup culture. HR Data Maintenance Reporting: Operate and maintain the HRIS day-to-day, regularly consolidate baseline metrics such as turnover, recruiting pipeline, and cost-per-hire, and produce reports to guide team optimization. Labor Law Compliance Support: Under the manager's guidance, help ensure HR processes comply with the Labor Standards Act and related regulations, stay attentive to legal developments, and assist in keeping internal policies and work rules up to date.

About the Role We are seeking a Data Scientist with deep expertise in both classical machine learning and Generative AI to drive digital transformation in the process industries, including energy, chemicals, manufacturing, and industrial automation. You will work on high-impact use cases such as predictive maintenance, process optimization, supply chain forecasting, and intelligent automation—leveraging massive industrial datasets, domain-specific knowledge, and cutting-edge AI/ML techniques. Drawing inspiration from the work done at AspenTech, Aveva, Siemens, C3.ai, and Palantir, you will lead the development and deployment of production-grade models that create measurable business value for mission-critical operations. Key Responsibilities ● Design, develop, and deploy advanced machine learning and deep learning models for predictive analytics, anomaly detection, optimization, and simulation in process industries. ● Lead the application of Generative AI (LLMs, foundation models) to use cases such as natural language querying of industrial data, automated reporting, operator assist, and control recommendations. ● Collaborate with SMEs, engineers, and product teams to define high-impact use cases grounded in operational and engineering realities. ● Work with large-scale industrial time-series, sensor, and historian data (e.g., OSIsoft PI, Aspen IP.21). ● Build and evaluate digital twins for industrial assets and processes, including physics-informed ML models. ● Apply techniques such as reinforcement learning, probabilistic modeling, and graph learning where applicable. ● Stay current with the GenAI and ML research landscape, and translate breakthroughs into practical solutions. ● Contribute to data pipelines, model monitoring, retraining strategies, and deployment using MLOps tools and platforms. ● Communicate results and insights clearly to both technical and non-technical stakeholders. Required Qualifications ● 1~3+ years of experience in applied data science, with a strong track record of delivering real-world ML/AI solutions. ● Deep understanding of supervised/unsupervised learning, time-series analysis, and generative models (e.g., transformers, diffusion models). ● Experience working with industrial datasets and process industry platforms such as Aveva, AspenTech, Honeywell, or Siemens Xcelerator. ● Proficiency with Python, ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow), and GenAI frameworks (e.g., LangChain, HuggingFace, OpenAI APIs). ● Familiarity with MLOps tooling such as MLflow, Airflow, SageMaker, or Azure ML. ● Strong analytical and problem-solving skills with the ability to work across messy and heterogeneous data sources. ● Solid grounding in statistics, optimization, and experimental design. ● Excellent communication and collaboration skills, with the ability to partner with engineers, domain experts, and executives. Preferred Qualifications ● Background in chemical, mechanical, or process engineering ● Experience with digital twins, control systems, or simulation tools (e.g., Aspen Plus, gPROMS). ● Knowledge of graph data models, semantic layers, or ontologies used in industrial contexts. ● Understanding of domain-specific regulatory, safety, and operational requirements. ● Experience with secure and scalable AI deployment in enterprise or OT/IT hybrid environments.

1. 洞察公司營銷/工廠運維的數據，並應用數據挖掘、機器/深度學習、最佳化等等技術，優化產品品質、提升生產效率減少資源的耗用、提升設備的妥善率，並找到問題的根因與最適的生產操控作業。2. 以智慧製造的策略發展，應用集團內各工廠的生產數據與領域專家合作，制定生產製造所產生的問題，處理相關數據以符合製程的運作，並應用相關的演算法，建立線上即時預測或分析模型，協助工廠解決生產問題的痛點。 3. 協助商業營運銷售活動的分析，開發應用相關演算法模型進行分析與預測，提升獲利與企業競爭力。4. 依照環境的現況，設計出最佳的解決方案，模型部署在（On-prem / Cloud / Edge），並做視覺化呈現或告警通知給予使用者最適的業務運作協助。管理線上模型的生命週期，研究與開發相關演算法，保持模型的預測的效用與運作效率。 5. 參與智慧工廠、數位分身（Digital Twin）等專案，持續追蹤並導入新興 AI 技術（如 Generative AI、多模態模型），提升系統效能與應用深度。 6. 撰寫技術文件與專案成果報告，協助跨部門溝通與知識傳承