「K100-AI軟體開發工程師」的相似工作

This vacancy is open for talent pool collection. We will contact you if we have proper vacancies that fit with your profile. Job Mission Represent manufacturing and act as gatekeeper from manufacturing to D&E function Add value in overall manufacturing processes such as forming, machining, joining, and assembling Job Description Contribute to the solution of faults and takes the necessary initiatives and practical decisions to ensure zero repeat Identify gaps and drive assigned process improvement projects and successful delivery Initiate and drive new procedure changes and projects Develop and maintain networks across several functional stakeholders Prioritize works and projects based on business situation Transfer knowledge and train colleagues on existing and newly introduced products Education Master degree in technical domain (e.g. electrical engineering, mechanical engineering, mechatronics) Experience 3-5 years working experience in design engineering Personal skills Show responsibility for the result of work Show proactive attitude and willing to take initiative Drive for continuous improvement Able to think outside of standard processes Able to work independently Able to co-work with different functional stakeholders Able to demonstrate leadership skills Able to work in a multi-disciplinary team within a high tech(proto) environment Able to think and act within general policies across department levels Diversity and inclusion ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions.

a. Job Description: We are looking for an AI Software Engineer with expertise in performance profiling, model fine-tuning, and architecture identification for large-scale AI models such as Llama, DeepSeek, VLM, Evo-2, LLMs, Robot VLM, and DNA-based models. The ideal candidate has experience with deep learning frameworks, hardware acceleration, and AI optimization techniques to enhance the efficiency and scalability of AI models. b. Performance Profiling & Optimization Analyze and optimize AI model performance across various hardware platforms (GPUs, TPUs, NPUs). Profile training and inference pipelines for memory usage, compute efficiency, and latency. Work with CUDA, TensorRT, PyTorch, and JAX to optimize models for production deployment. Implement quantization, pruning, distillation, and mixed-precision training techniques. Debug performance bottlenecks using NVProf, Nsight, TensorBoard, and PyTorch Profiler. 2. Architecture Identification & Model Analysis Reverse-engineer and analyze LLM/VLM architectures to extract key architectural details. Identify activation functions, attention mechanisms, and parameter distributions in pretrained models. Compare performance trade-offs between transformer-based, mixture-of-experts (MoE), and diffusion models. Work on model compression techniques for real-time AI applications. 3. Fine-Tuning & Customization Fine-tune LLMs, VLMs, and DNA-based AI models on domain-specific datasets. Use LoRA, QLoRA, PEFT, and Adapter methods for parameter-efficient fine-tuning. Implement prompt engineering, retrieval-augmented generation (RAG), and reinforcement learning (RLHF) for LLMs. Train and deploy robotic VLMs for real-world AI applications. c. Qualifications: Bachelor’s/Master’s/PhD in Computer Science, Machine Learning, AI, or related fields. 3+ years of experience in deep learning, model optimization, and AI performance engineering. Strong proficiency in Python, PyTorch, TensorFlow, and JAX. Experience with CUDA, Triton, TensorRT, and ONNX for AI acceleration. Understanding of transformer architectures, vision-language models (VLMs), and multi-modal AI. Familiarity with LLM fine-tuning techniques, large-scale distributed training, and RLHF. Experience working with scientific AI applications (e.g., DNA sequencing, robotics, computational biology). - Non smoking

1. RESPONSIBILITIES: • Provide software support and assistance to customers and conduct evaluation to find solutions to customers' modification requests for existing machines. • Work in close collaboration with Product Marketing Management (PMM) team to ensure strategic business objectives are met. • Generate the machine software application and guarantee stability and compliance to customers' specifications. • Provide onsite customer support in solving machine software issue. • Test and qualify software to ensure quality machine software both internally and at customer site. • Work closely with other engineering groups to evaluate the interface between hardware and software and the operational and performance requirements of the overall system. • Support and train customers and service engineers on machine software feature. • Any other ad-hoc assignments within the scope of main objectives. 2. ESSENTIAL QUALITY EXPECTATIONS: • Proactively identify opportunities for improvement. • Seek for continuous improvement in own job processes. • Provide accurate reporting. 3. AUTHORITY: • Authorized to Cohu MY Software Engineering source code and documents that is needed to fulfil the objectives and responsibilities. • Authorized to discuss technical solution with customer directly and feedback to related department.

(1) 熟悉 Python (2) 熟悉 繪圖元件 : EChart / HighChart … (3) 熟悉 Git 版控流程相關能力 (4) 有3年以上業界經驗, 能立刻上手 (5) 良好溝通能力 加分: (1) 具SQL/NoSQL數據庫開發經驗 (2) 具大數據資料呈現開發經驗

Main JD -Develop automated programs for specific tasks to make it effectively and efficiently. -Can deploy automated programs to the website, making it easy for users to use. -The output results can be presented in a visual way, and the project data can be quantified for real-time review. -Build and manage servers to ensure normal daily operations. -Continuously optimize the data analysis process: data collection, modeling data and parsing, cleaning, analysis, report output and improve user utilization. -Leverage AI/LLM models to facilitate engineering tasks. Secondary JD -Familiar with Python-based web construction and Linux operation (Must). -Be familiar with the meaning and practical experience of DevOps (Must). -Able to efficiently understand the problem requirements from engineers and project managers, and convert the problem requirements into necessary flow charts to facilitate program development. (Must) -Able to understand the block diagrams of circuit diagrams (e.g. OrCAD) and the meanings of net names (Nice to have). -Able to build U-boot, Linux to bring-up the system and know the concept of firmware diagnostic program (Nice to have). -Able to deploy large language model (LLM) on Linux system to interact and facilitate engineering tasks (Nice to have). As a software automation and development engineer, you will be collaborating with hardware and diagnostics engineers. Your work has the potential to facilitate engineering tasks via self-developed python applications. As well, to use your imagination to develop automation tools and AI LLM to make some meaningful results for hardware/diagnostic engineers is also terrific. To achieve the goal, how to leverage the resources of Python community to deliver a transparent result with simplicity and regularity is the main idea. Depending on your experience/expertise, you may leverage Python to choose what deliverables you want to make, the best way is to make it available around engineers (e.g. spreadsheets, html or web-based server based on Linux).

1.半導體自動化設備控制軟體之分析、設計以及程式撰寫。 2. 使用C# .net , winform/Halcon Form 開發檢測/量測/介面系統 3. 各模組DLL 整合 (光源, 相機, 控制IO, DB, 影像演算法, 客戶API等) 4. 多檢/量測邏輯，及多執行續控制管理 5. 熟悉Halcon/ Opencv/ MIL/eVision軟體工具 6. 有相機或軸卡整合經驗佳 7. 機台流程控制

Development of Layer 2 and Layer 3 switches. 1. System bring up. 2. Device driver development. 3. Network function development. 4. Management function development. 5. Web application and network security function development.

1.熟悉python做PC base系統整合(必要) 2.對光學和鏡頭稍有概念(必要) 3.懂PLC自動控制(加分項目) 4.懂ABB、TM手臂(加分項目) 對光學與視覺控制檢查有興趣者歡迎加入

影像分析/辨識演算法開發 1.演算法設計 2.演算法分析及模擬 3.演算法最佳化 4.熟悉C/C++

1. 具團隊合作能力與對軟體開發熱忱 2. 具備 Windows 程式系統規劃/設計能力 3. 熟悉 物件導向 (封裝, 繼承, 多型) 4. 熟悉 C# (List, Dictionary, 委派) 5. 具備 Multi-Thread開發經驗 (Thread, Task, lock, BeginInvoke) 6. 具備 WinForm GUI開發經驗 7. 具備人機介面、資料庫、網路通訊、第三方dll呼叫 經驗者佳 具備以下經驗尤佳： 1. TCP/UDP/RS232 通訊開發經驗 (Socket, SerialPort, WebSocket, WebService任一) 2. 資料庫DB使用經驗 (Oracle, MySQL, SQLServer, SQLite任一) 3. 具建置 C/C++ 的 Static/Share Library 經驗，並製作符合 Win32/Win64 格式的 DLL，供 .net 使用

研發網路相關控制、安全、加速等功能，提供底層驅動程式、系統維護、通訊軟體、應用程式並進行軟體整合驗証與正式發行。 1. 擅長 C/C++ 或 C#/WPF 或 Android/iOS 或 Laravel 前後端 程式設計。 2. 具 Linux 開發經驗 或 網路封包處理 或 網路安全開發經驗者尤佳。 3. 學習力強、喜歡思考、具研發熱忱、積極有責任感。 4. 需有良好溝通能力及抗壓性。 5. 具備解決問題與分析能力。

1. 負責生物資訊 NGS 及 TGS 相關演算法之研究與開發。 2. 協助開發硬體加速方案整合 3. 與 PM、RD 協作，解決專案上會遇到的問題。 4. 其他主管交辦事宜。

【工作內容】 1.負責高科技業客戶生產數據相關系統開發、翻寫及維護。 2.與團隊協作及分工，採用Scrum架構進行開發工作。 3.進行單元測試(撰寫測試腳本) 【技能】 1.1年以上開發經驗(具備下述前端及後端任一技術能力者可洽談) 2.熟悉後端開發框架:JAVA Sringboot 或 Python (FastAPI) 3.熟悉前端開發框架:React 或Angular 4.熟悉Kuberates (Container 運作) 5.熟悉Git操作 6.了解 Airflow, Conductor (Option) 7.熟悉Oracle DB,MariaDB,MongoDB, PosgreSQL (Option) 8.具備前述(2,3)技能之全端開發經驗者優先錄取

1. 具有Windows程式開發經驗尤佳 2. 按需求針對研發工程師提出的檢測算法，於現場測試並確定效果及分析問題 3. 在機台段協助機台程式除錯 4. 能準確分析現場發生異常問題的原因，並提出初步建議 5. 能配合出差(4~6個月/年)、須進無塵室工作、可接受加班

1.光學檢測演算法及生產設備軟體設計開發 2.現有量測設備軟體功能新增與優化 3.支援客服人員新機導入生產使用

設計並構建適用於大規模 AIGC 應用的系統 開發概念驗證以驗證 AI 能力 準備、清理並生成訓練數據集以進行 LLM 細調 實現創新的 AI 方法以解決大規模商業問題 與工程師合作將 AI 解決方案整合進產品中 監控並優化 AI 模型的性能 跟進最新的 AI/ML 進展 資格條件： 擁有資訊、電子工程、AI、ML 或相關領域的學士、碩士或博士學位 至少 2 年實際實施 AI 解決方案的經驗 具有扎實的 AI/ML 原理基礎 精通 Python（必須）和 C++（必須） 熟悉 PyTorch 或 TensorFlow 擁有 LLMs 和多模態基礎模型的經驗 了解模型訓練、優化和定制（如 RAG, 細調） 具有強大的溝通和合作技巧 加分項目： 具備 Kubernetes、Docker、CI/CD 工具的經驗 熟悉 NLP 框架（如 Transformers、LangChain） 電腦視覺專長（如 OpenCV、Dlib） 雲平台經驗（如 AWS、Azure、GCP） 具有大規模數據和分布式系統的經驗

1. Capacitive touch screen controller FW development 2. Touch algorithm development 3. Anti-noise algorithm development - NFC noise, EFT noise, LCM noise, charger noise... etc. 4. Analyze and solve the abnormal problem about touch performance. 5. 需國外出差 - 協助客戶快速解決問題。 - 對 FAE 做教育訓練, 讓 FAE 也能協助處理客戶問題。 6. 經培訓後，專業能力達標的前提下，能接受海外長期出差的申請者將優先考慮。

※職務內容 【TQSD 機台品質系統部】 1. 廠設備資產管理平台，進機掃毒系統自動化整合 2. 強化/重構既有工廠設備資產管理平台 3. 透過New Technology (k8s,CI/CD, Prometheus,…)開發並加強平台監控與管理機制 ※職務需求 1. 對 Cloud Native 軟體開發和維運具熱忱，熟悉或有興趣學習 Kubernetes、Azure CI/CD、MERN、Prometheus 等平台。 2. 須具備至少一種程式語言的經驗(C/C++, JAVA, Python, TypeScript/JavaScript......) 3. 常用資料庫技術(Cassandra、MariaDB、MinIO、Oracle) 4. 有container and cloud-native solutions的經驗 5. 具備全端網頁應用開發經驗，並熟悉大型軟體應用的開發。 6. 熟悉 TCP/IP 通訊協定和資安知識。

- 自動化設備整合 1. 與機電硬體團隊合作，開發並整合軟硬體功能，確保設備在實際應用中的穩定性與效率。 2. 參與設備模組的系統設計與功能測試，包含機台運動控制與感測器數據處理。 - 軟體控制程序 1. 設計並實現設備的控制流程，確保程序邏輯準確無誤。 2. 開發並維護設備狀態監控與異常處理模組，實現精準的錯誤診斷與通知機制。 3. 實現高效且可擴展的控制算法，提升設備運作效率與準確性。 - 人機介面設計 1. 開發直觀易用的人機介面，包含設備狀態顯示、操作流程設計及參數調整介面。 2. 負責人機介面相關功能的優化，提升用戶體驗與操作效率。 3. 使用 WPF 或其他 UI 框架 ( WinForm or Web ) 開發圖形化界面，實現多語言支持與自定義功能。 - 演算法開發 1. 設計與實現與設備相關的核心演算法，例如運動控制、路徑規劃或影像處理演算法。 2. 開發並優化 AI/ML 智能化功能（如瑕疵檢測或自動校正）。 3. 針對設備性能進行數據分析與優化，改進現有算法的穩定性與準確性。 - 專案參與與跨部門合作 1. 協助客戶需求分析與規格制定，提供軟體技術解決方案。 2. 與測試、維護團隊合作，進行軟體驗證與現場技術支持。 3. 參與專案技術文件的撰寫，如流程圖、技術規範與維護手冊。 相關產品請參考網站： https://www.mpi-corporation.com/pa/

1. 機器/深度學習模型建模/開發/驗證 2. 影像/聲學訊號處理演算法 3. 算法測試與性能優化 4. 部署邊緣裝置/模型應用落地 5. 前沿AI技術研究 【專業要求】 1. 具一年以上深度學習模型開發相關背景及實務經驗 2. 理解AI NN模型結構並有實際修改/訓練/優化相關經驗 3. 熟悉至少一種AI建模框架：Tensorflow, Keras, pytorch, PaddlePaddle, etc 4. 熟悉 C/C++，模型產品落地使用 5. 積極、熱誠、具有分析解決問題以及溝通能力