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## 關於我們過去多年，我們團隊打造並營運了一套全方位的 AI 與Digital Twin平台，從數據智慧到 AI 基礎設施一應俱全：**iPLAS — Big Data Platform** — 大規模資料擷取、處理與分析管線，驅動 AI 各項計畫。提供即時視覺化儀表板，涵蓋 FPY、OEE 等廠區數據。**MLOps Platform** — 端到端模型生命週期管理，從資料收集、標註、訓練、評估到部署、監控與持續改進。**LLM Platform** — 企業級 AI Agent、RAG（檢索增強生成）、MCP（Model Context Protocol）與Skill整合平台，同時服務內部與外部客戶。**NVIDIA Omniverse Digital Twins** — 基於 Omniverse 平台構建數位孿生應用，將虛擬空間與實體世界連接，實現模擬、監控與最佳化的閉環。現在我們進入下一階段：**快速 AI 整合應用與 AI 解決方案交付**。我們正從平台建設轉向直接以 AI 解決業務問題——設計架構、實作方案、快速部署。這意味著將深厚的平台專業轉化為立即可用的生產級 AI 應用。---## 關於此職位加入我們的團隊，您將設計與開發創新的 full-stack 應用程式，專注於企業級 **Agentic AI** 與**數位孿生（Digital Twins）** 平台，推動產業數位轉型。我們正在尋找對構建高效能 AI 驅動應用充滿熱情的人才——整合大型語言模型、即時資料處理、數位孿生等尖端技術，為企業用戶提供卓越體驗。在這個角色中，您不僅是寫程式——而是**以 AI 加速的方式建構解決方案**，運用我們成熟的平台（Agents、RAG、MCP、Skill、Digital Twin）作為基礎，快速將平台能力轉化為解決真實問題的生產級方案。我們相信下一代工程師的定義，不只是你寫出什麼程式碼，而是**你如何有效地與 AI 協作來解決問題**。如果你日常使用 Claude Code、Cursor、Copilot、Codex 等工具，並渴望在經過實戰驗證的 AI 平台上交付解決方案——我們期待與你合作。---## 職責**AI 解決方案開發** — 運用既有 LLM 平台（Agents、RAG、MCP、Skill）快速構建 AI 整合應用，將平台能力轉化為解決業務問題的生產級方案。**數位孿生應用開發** — 與 NVIDIA Omniverse 整合，開發虛擬空間相關應用；開發並優化平台上的模擬與開發環境，確保數位孿生系統的高效能、可擴展性與安全性。**Full-Stack 實作** — 跨前端、後端與雲端設計並實作端到端方案——從架構設計、原型驗證到部署監控。**AI 增強工程** — 日常使用 AI 編碼工具（如 OpenCode）加速開發、Code Review、除錯與文件撰寫，樹立 AI-Native 工程效率標準。**平台整合** — 將應用連接至 AI 平台服務（MLOps 管線、LLM 端點、Agent/RAG API、MCP 工具伺服器），充分理解平台以快速組合服務構建新方案。**跨團隊協作** — 與產品經理、資料科學家、AI/ML 及伺服器維運團隊合作，將業務需求轉化為 AI 驅動的技術方案，並在緊湊時程內交付可運作的解決方案。---## 我們提供- 日常使用業界流行的 AI 編碼工具 OpenCode 與平台- 公司提供700B以上的Model API，無使用Token限制，讓你盡情實驗與創新

加入我們的團隊，您將有機會設計和開發創新的full-stack application，專注於我們的企業級 Agentic AI 和數位孿生(Digital Twins)平台，推動行業的數字化轉型。我們正在尋找熱情洋溢的個人，渴望構建高性能的 AI 驅動應用程序，整合大型語言模型和實時資料處理等尖端技術，為企業用戶提供卓越的體驗。在這個角色中，您將與跨職能團隊密切合作，將業務需求轉化為創新技術解決方案，確保我們的系統達到最高的安全和性能標準，並成為推動行業進步的關鍵角色。以下是此職位的職責和要求：1.構建和優化可擴展的高性能 AI 驅動企業應用程序，整合大型語言模型、多代理系統和實時資料處理。2.與 Nvidia Omniverse 集成，實現與虛擬空間相關的應用程序。3.與 AI/ML、雲和資料工程團隊合作，將 AI 模型、data engineering和simulation environment集成到企業工作流程中。4.與產品經理、資料科學家和工程師合作，將業務需求轉化為技術解決方案。5.確保數位孿生系統應用程序的高性能、可擴展性和安全性，滿足企業級需求。6.開發和優化平台上的模擬與開發環境。

EdgeAI應用工程師_14539https://www.104.com.tw/job/8sfsc?jobsource=joblist_r_custMachine Learning Engineer(高雄)_14704https://www.104.com.tw/job/8u6rk?jobsource=joblist_r_custAI DevOps軟體工程師 (高雄) _14828https://www.104.com.tw/job/8vbc2?jobsource=googleAI工程師_14847 https://www.104.com.tw/job/8vl5l?jobsource=joblist_r_custAI Digital Twins Engineer_14810 https://www.104.com.tw/job/8vaw9?jobsource=joblist_r_custDigital Twin工程師、資料工程師、後端工程師_14874https://www.104.com.tw/job/8vzq3?jobsource=joblist_r_cust

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.

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 作為資深全端工程師，你將與產品、AI、3D 與設計團隊密切合作，將複雜的技術能力轉化為清晰、直覺且高效的產品體驗。 你的工作將包含： 參與產品從 0→1 的系統架構設計與開發 將複雜的技術能力轉化為易於理解與操作的產品介面 與 Product / Design 團隊合作，平衡 UX、技術可行性與系統擴展性 設計與維護前後端 API、資料模型與即時通訊架構 建立可重用的 UI Pattern、Component 與 Design System 整合 AI、3D Simulation 與平台功能，打造一致的產品體驗 參與企業級平台與工具型產品的 UX 與互動設計 使用的技術 Frontend：React / Vue / Next.js Backend：Python / Node.js API Design / System Architecture Real-time Communication Data Visualization 3D / Simulation / Web-based UI AI Simulation Platform Integration （團隊也會接觸 NVIDIA Omniverse 等 3D simulation 生態）工作地點 台北市南港區（Hybrid 工作模式） 每週固定一天遠端工作 + 每年 20 天彈性遠端

公司介紹 我們的客戶是一家專注於 Physical AI 與數位孿生（Digital Twin）技術 的 AI 新創團隊，致力於打造能夠讓 AI 在虛擬環境中訓練、學習並優化決策的下一代平台，並將最佳策略部署回真實世界場域。 團隊核心技術結合 AI、3D 模擬、運籌優化與大型場域建模，應用於智慧製造、自動化物流與高精密產業等場景，協助企業在虛擬工廠中完成策略模擬與 AI 訓練，大幅提升建置效率與營運決策能力。 公司獲得 國際 GPU 生態系與多家產業資本支持，並與大型科技與製造企業合作，是少數專注於 Sim-to-Real / Real-to-Sim AI 應用落地 的技術團隊。 如果你對 AI + Simulation + Robotics / Automation 的跨領域技術有興趣，這將是一個能直接參與核心產品與演算法設計的機會。 工作內容 你將加入核心演算法研發團隊，負責設計並優化應用於 大型數位孿生場域的演算法模型，協助解決複雜環境中的路徑規劃、排程與資源配置問題。 主要職責包含： 建立與設計演算法模型（如圖論、網格建模、路徑規劃或優化模型） 從 3D 環境與場域資料中建構抽象模型並設計解法 設計並實作高效能演算法模組（Python 為主） 使用 GPU 加速工具優化大型資料處理或模擬效能 與產品與工程團隊合作，將演算法整合至平台系統 測試與評估不同策略表現並持續優化 使用技術 Python CUDA / GPU Parallel Computing PyTorch Algorithm Design / Data Structures Graph Theory / Path Planning 3D Simulation / Digital Twin Optimization / Scheduling

🎯 關於團隊 我們正在打造結合 AI、Digital Twin 與 3D 技術的新世代智慧平台，協助企業將複雜數據與業務場景轉化為可視化、可操作且具規模化的產品應用。這是一個從 0 到 1 的產品開發機會，你將與產品、AI、3D 及工程團隊密切合作，參與核心系統架構設計與關鍵技術決策，直接影響產品可擴展性與使用者體驗。 💻 工作內容 負責核心產品功能的設計、開發與維護以後端系統設計與架構為主，同時參與前端功能開發與體驗優化設計 API、資料模型與系統整合架構，確保系統穩定與一致性建置高效能、可擴展的服務架構，支撐高流量與高併發場景優化系統效能、資料流與即時處理能力與 AI、產品及設計團隊協作，推動功能從概念到落地參與技術選型、架構演進與工程最佳實務建立

1. AI-Driven Log Triage: Design and implement NLP (Natural Language Processing) or pattern-recognition models to automatically classify, filter, and extract root-cause signatures from massive daily SSD failure logs. 2. Anomaly Detection Fuzzing: Develop ML-based fuzzing frameworks to autonomously generate boundary-pushing NVMe/PCIe commands to proactively uncover zero-day firmware vulnerabilities. 3. Digital Twin Emulation: Analyze complex telemetry and trace data from top-tier datacenter customers to build predictive models and digital twin testing workloads. 4. Data Pipeline Optimization: Build robust data pipelines to aggregate test results from 100+ concurrent testing servers into a centralized, queryable database for SVD dashboards. 5. Cross-Functional Collaboration: Partner directly with SSD domain experts (Firmware Validation Leads) to translate hardware testing pain points into software/AI solutions.

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.Principal Quality Engineer Role Summary As Principal Quality Engineer based in Aachen, you are the technical authorityforquality across our optical product line and regional quality lead for European operations. You will bridge HQ (San Jose) and the Aachen manufacturing site, drive quality integration for in-house optical manufacturing, lead supplier quality for regional semiconductor and optical vendors, and support Asia-based RMA activities for in-region products. Key Responsibilities Quality‑System Integration:Lead ISO 9001 alignment between San Jose HQ,Aachen,and other regional locations toharmonizeprocedures, audit schedules, and corrective action processes across both semiconductor and optical product lines. Process Development Implementation:Design, document, and roll out new quality processes, procedures, and work instructions needed to support emergingphotonicsproducts and manufacturing capabilities. In‑Process Inspection Controls:Oversee in‑process inspection activities for the in‑house manufacturing operation, establishing SPC, go/no‑go checkpoints, and real‑time defect‑tracking dashboards. Supplier Quality(Optics):Provide technical support and quality assurance for optical‑component and optical‑coating suppliers; conduct supplier audits, and drive corrective‑preventive actions (CAPA). Supplier Quality(Semiconductor):Serve as the regional point of contact for semiconductor suppliers, monitoring supplier performance,assisting with supplier audits,and leading issue resolution. Product Quality:Core Semiconductor Business –Lead technical investigation of field returns, warranty claims, and reliability failures for semiconductor and optical products; coordinate 8D root-cause analysis and interface with Field Application Engineers (FAEs). Cross‑Site Liaison:Act as the primary conduit between the Aachen site, other European/EMEA sites, and the San Jose HQ for quality information exchange, escalation handling, and best‑practice sharing. Metrics Reporting:Define, track, and report key quality KPIs (PPM, DPMO, warranty cost, MTBF, supplier defect rate, etc.) to senior leadership across the BU and corporate HQ. Quality Improvement:Leadand demonstratethe application of advanced quality improvement techniques includingLean,Six‑Sigma,andother methods toreduce waste, improve yield, and enhance overall product reliability. Education Experience Required Preferred •Bachelor's in Electrical Engineering, Materials Science, Physics, or related discipline • Master's or PhD in Engineering • 10+ years in quality engineering with progression to senior/principal level • 15+ years with demonstrated leadership in multi-site organizations • Minimum 5 years in semiconductor, photonics, or precision optics manufacturing • Direct experience with optical module qualification (Telcordia GR-468) Technical Skills Required Preferred • Expert-level ISO 9001 implementation and multi-site QMS integration • Six Sigma Black Belt, ASQ CQE/CQM, or Lean certification • Advanced statistical methods: SPC, DOE, MSA, FMEA (Design Process) • Proficiency in Minitab, JMP, Python, or R for data analysis • Supplier quality management including audits, scorecards, CAPA/SCAR • Familiarity with JEDEC, IPC, Telcordiareliability standards • Experience with optical metrology (interferometry, power meters, spectrometers, alignment systems) • Industry 4.0 quality tools (AI-based defectdetection, digital twin, automated optical inspection) Core Competencies Required Preferred •Fluency in English and German(written and spoken) • Additional European language • Strong cross-functional leadership and influence without authority • Experience managing quality engineers or cross-site teams • Excellent technical communication to engineering and executive audiences • Track record presenting to C-level stakeholders • Comfort with ambiguity in fast-paced, high-growth environments • Experience in startup or rapid-scale environments • Willingness to travel (up to 20–25%, including Asia and North America) • Existing relationships with European optical/semiconductor supply base Compensation Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. Astera Labs is committed to fair and equitable pay practices. Astera Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

About the Role We are seeking a Director of Finance to serve as the most senior financial leader of our 14-person MedTech startup building the Digital Twin for Healthcare. You will work directly with the CEO and CSO to shape the company’s commercial DNA, architect complex regional deal structures, and lead our $10M+ Series A and beyond. This is a high-impact, high-intensity leadership role requiring both strategic depth and hands-on execution. Who You Are 10–15 Years of Experience Background in startup financial leadership, investment banking, or corporate finance Experience in MedTech, Deep-Tech, or regulated industries preferred Commercial Operator You don’t just report numbers — you influence pricing, margins, and deal structure SEA Financial Expertise Strong understanding of regulatory, tax, and financial nuances in Malaysia, Vietnam, and Thailand Fundraising Veteran Experience leading institutional fundraising rounds Comfortable engaging with VCs, PE funds, and strategic investors Startup DNA Comfortable in a high-intensity, high-ownership environment Strategic thinker with hands-on execution mindset Why Join Us? We are building the Digital Twin infrastructure for healthcare, partnering with global conglomerates and Tier-1 hospitals across Southeast Asia. This is a rare opportunity to: Architect the financial backbone of a regional MedTech pioneer Lead institutional fundraising at scale Shape the commercial strategy of a deep-tech healthcare company Join an international leadership team driving global impact