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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
Python
Full Stack Web Development
Digital Twins
1.5M ~ 2.3M TWD / year
5 years of experience required
No management responsibility
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
Tensorflow
PyTorch
Digital Twins
1.5M ~ 3M TWD / year
3 years of experience required
No management responsibility
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.
公司介紹 這是一家高速成長的 AI 新創團隊,專注於 Physical AI 與 Industrial AI 的落地應用。團隊致力於打造能將真實世界工業環境快速轉換為高擬真模擬場景的 AI 平台,讓 AI 能在虛擬環境中進行訓練與策略優化,最終部署至真實工業系統。 公司產品結合 3D Simulation、Digital Twin 與 Reinforcement Learning 技術,讓企業可以在虛擬世界完成複雜系統的訓練與測試,大幅降低現實環境的成本與風險,並加速智慧製造與自動化的導入。 團隊由多位具創業與深度技術背景的成員組成,目前已獲得 國際級 AI 科技公司與知名投資機構支持,並與高端製造及半導體產業合作。工程師將有機會參與 AI + Simulation + Robotics 的前沿技術應用,直接將研究級技術落地至真實世界場景。 工作內容 作為 Senior Reinforcement Learning Engineer,你將負責透過強化學習技術優化自動化系統與工業場景中的 AI 決策能力,並在模擬環境中訓練可部署於真實世界的 AI 模型。 你將有機會參與 AI 在 工業自動化、機器人與智慧製造場景中的實際應用。 主要職責包含: 在 NVIDIA Isaac Sim 等模擬平台上建立與訓練強化學習模型 設計並實作 state space、action space 與 reward function 開發與優化 RL policy(如 Q-learning / Policy-based methods) 與 AI / Simulation / 3D 團隊合作進行系統模擬與模型訓練 持續調整模型與參數,提升策略效率與系統穩定度 將模擬環境中的最佳策略導入實際工業系統 使用技術 Python PyTorch / TensorFlow Reinforcement Learning Algorithms NVIDIA Isaac Sim Simulation / Digital Twin Robotics / Automation Systems
Tensorflow
Reinforcement learning
Pytorch
2M ~ 3M TWD / month
3 years of experience required
No management responsibility

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