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About the Role We’re looking for a Senior AI Algorithm Engineer with a strong background in image processing and vision-language AI. You will lead the design and optimization of cutting-edge computer vision and inference algorithms, with applications spanning color analysis, image stitching, and multimodal understanding. This role requires hands-on experience in deep learning, cloud deployment, and production-level AI integration. You’ll also work with frameworks such as NVIDIA NeMo and deploy AI services using NIM to cloud platforms like GCP and AWS, with Kubernetes for orchestration. What You’ll Do Design and implement deep learning models for image processing, object detection, and anomaly detectionDevelop models for color recognition, color classification, and image-based feature analysis Fine-tune or integrate Large Language Models (LLMs) for vision-language tasks such as captioning, semantic search, and classification Optimize models for accuracy, inference speed, and resource efficiency Deploy and scale model services on GCP / AWS using Kubernetes (K8s) Utilize NVIDIA NeMo to train and deploy LLMs or VLMs, and package models into lightweight Docker containers served via NIM architectureCollaborate closely with product, frontend, and backend teams to integrate AI features into real-world applications

【職務核心】 您將利用海量數據構建核心決策模型，透過自動化手段解決內部的營運痛點。我们需要您具備將數學理論轉化為生產級 (Production-grade) 程式碼的能力。 數據煉金：使用 SQL 從龐大的資料倉儲中萃取 (Extraction) 有價值的特徵，並進行深度分析。模型開發與自動化：應用 Data Mining 與 ML 技術設計自動化工具，優化內部作業流程與決策效率。落地與維運：負責模型的容器化 (Docker) 封裝與部署，監控模型在正式環境的表現，確保系統的高可用性。技術顧問：與跨部門團隊協作，向非技術人員解釋 AI 模型的應用場景與邊界 (Limitations)。

Introduction to the jobWe are looking for a highly skilled Senior Algorithm Engineer with deepexpertisein image processing and computer vision, who can act as a senior individual contributor and drive algorithm development for complex industrial imaging applications.This role focuses on technical ownership rather than people management. The ideal candidate has experience tackling challenging imaging problems—such as fingerprint recognition, optical inspection, PCB defect detection, machine vision, or autonomous driving perception—andis capable of shapingalgorithm direction, collaborating across domains, and delivering production‑level solutions.Experience with E-Beam is notrequired. We value strong algorithmic thinking, industrial problem‑solving ability, and the capability to influence technical outcomes.Work model: Hybrid (2 WFH + 3 onsite days per week)Role and responsibilitiesTake technical ownership in developing advanced image processing and computer vision algorithms for industrial applications.Drive algorithm development across the full lifecycle: prototyping, validation, optimization, deployment, and long-term maintenance.Address complex imaging challenges in real‑world environments, ensuring robustness, accuracy, and performance.Collaborate with cross-functional teams (software, hardware, SEM, application, customer teams) to define requirements and translate them into clear algorithm specifications and architecture.Produce high‑level design documents, decision records, and algorithm specifications.Engage in technical discussions with customers and global stakeholders to understand use cases and propose algorithmic solutions.Conduct code reviews, model reviews, and performance optimization in C++/Linux environments.Troubleshoot algorithm behaviors, integration issues, or performance bottlenecks.Required QualificationsMaster’s degree or above in Computer Science, Electrical Engineering, or related fields. PhD is considered equivalent to 5–6 years of industry experience.8+ years of experience in image processing, computer vision, pattern recognition, or related algorithm development.Demonstrated experience in complex industrial imaging, such as: Fingerprint recognition/Optical inspection (AOI)/PCB defect detection/Machine vision/Autonomous driving perceptionStrong proficiency in C++ and solid development experience in Linux environments.Proven ability to act as a senior individual contributor and drive technical direction without formal people management responsibilities.Effective communication skills for working with cross-regional teams, including regular meetings with US stakeholders (mostly during daytime; occasional early 07:30 calls).Preferred QualificationsDeep learning experience applied to industrial imaging: Feature extraction, correlation, matching/Defect inspection/Image quality enhancement/Image alignment/CNN / GAN / Transformer‑based modelsFamiliarity with performance optimization: SIMD, CUDA, OpenCL, embedded acceleration, or system-level optimization.Experience deploying algorithms to production environments and improving robustness, stability, and performance over product lifecycle.SkillsStrong analytical and problem‑solving ability for tackling ambiguous and complex imaging scenarios.Clear and structured communication skills for cross‑functional collaboration.High level of self‑discipline, ownership, and ability to drive tasks independently.Ability to influence technical decisions without direct people management responsibilities.Work EnvironmentDepartment: HMI DE / Software EngineeringTeam size: 20+ and expandingWork model: Hybrid (2 WFH + 3 onsite days per week)Location: HsinchuThis position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.Inclusion and diversityASML 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 inclusion and diversity 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.

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. The Facility Computer Integrated Manufacturing Department (FDCIM) is part of the Intelligent Manufacturing Center (IMC) at TSMC. It is primarily responsible for the development and maintenance of the following products: Development and maintenance of manufacturing-related report products for wafer fabs.Development and maintenance of engineering-related report products for wafer fabs.Development and maintenance of digital operation system products for facility management.Development and maintenance of big data application system products for facility management.Development and maintenance of facility management AI and machine learning related algorithm development and application system products. Responsibilities: FDCIM also employs software engineering and modular development techniques, combined with high-performance database application technologies, to develop systematized software with a unified version control system that accommodates different time zones and languages globally.In addition to its regular software product development work, FDCIM is also engaged in the research and development of new technologies, including the application of DevOps, Microservices, MLOps, AIOps, and more. Develop and maintain AI/ML systems and algorithmsCollaborate with cross-functional teams to identify and solve business problems using AI/ML techniquesDesign and implement machine learning models and data pipelinesTest and validate AI models for accuracy, scalability, and efficiencyDeploy AI solutions to production environmentsStay up-to-date with the latest advancements in AI technologies and industry trendsWrite clean and efficient code using HTML, CSS, and JavaScriptOptimize web applications for speed and scalabilityTest and debug web applications across multiple browsers and devicesStay up-to-date with the latest front-end development trends and best practices

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. As an AI/ML Engineer, you will be a key member of a versatile team focusing on both algorithm development and platform implementation for TSMC’s RD, Fab, Business, IT, and Security functions to improve productivity and work quality. The role involves developing AI/ML solutions, implementing scalable platforms to support AI productionization, and maintaining the lifecycle of machine learning models. Responsibility:Common Responsibilities1. Collaborate with cross-functional teams of data scientists, ML engineers, and software developers. 2. Drive the complete AI solution development stages from data collection, exploration, and feature engineering to model evaluation and error analysis.3. Perform model lifecycle management to ensure the validity of models in production. 4. Exercise sound judgment in determining if business problems can be addressed through AI/ML and communicate results effectively to domain users. 5. Operate and maintain scalable, highly available AI platforms with continuous measurement and quality improvement to meet SLO/SLAs. Differentiated Responsibilities1. AI/ML Solution Development(1) Develop AI/ML algorithms that optimize manufacturing processes, improving productivity and work quality. (2) Explain AI/ML models to internal customers and conduct error analysis.2. AI Platform Development (1) Design and implement full tech stack solutions, including data-related technologies and AI platforms.(2) Develop tools, automation, and microservices to extend platform capabilities. (3) Manage container-based workloads and process high volumes of data in environments like Kubernetes.Additional information for the job: Job Location: Hsinchu Site, Taipei Office (Experienced only)On-call needs: On-call 1 week every 3 months The complete interview process includes:1. Manager interview2. Hackerrank test3. On-site personality and English test(which could be replaced if you have script of officially English test) 4. HR interview5. Second manager interview (Optional assessment)6. Technical review (Optional assessment)

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.Advanced Quality System Development (AQSD) is part of TSMC's Intelligent Manufacturing Center (IMC), responsible for three main directions: Use statistical methods and conditional monitoring to inspect fab control charts, providing early warning of abnormal product yields; offer a fab defense system settings comparison platform to check that machines meet the internal control anomaly conditions set by the engineering department.Develop online fab analysis platforms through Big Data, Machine Learning, and Deep Learning techniques for online yield/defect analysis to ensure the quality of wafers produced in the fab.Develop systems and provide logical operations to control and implement escape mechanisms for material batch changes, measurement stages, and inspection stages, ensuring quality and optimizing product sampling rules. Responsibilities: Apply machine learning/optimization algorithm to build up models for optimizing semiconductor production.Develop analysis and optimization methods to enhance product quality, increase tool productivity and improve people productivity.Design, develop and test prediction models with real applications in manufacturing.Build a flexible framework to speed up the development process of AI models, with a focus on Large Language Models (LLMs) serving.Turn exciting AI prototypes/ideas into products, leveraging LLMs and other advanced AI technologies.Develop next-generation AI backend systems related to large-scale real-time data access, collection, analytics and monitoring.Establish and maintain MLops processes and tools, including model deployment, monitoring, and automation.Continuously improve the quality of AI production systems, particularly those utilizing LLMs.

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. The Intelligent Process Control Systems Department (IPCS) in TSMC's Intelligent Manufacturing Center (IMC) assists fabs in analyzing process issues. By employing techniques such as experimental design, statistical analysis, optimization algorithms, and machine learning, the department establishes R2R (Run-to-Run) process control models. Subsequently, in collaboration with the system development team, an automated control platform is established and rolled out across various fab zones. This integration aims to enhance staff efficiency and improve overall product quality. Responsibilities: By employing methods such as control system development, algorithm design, and control performance diagnostics, we provide advanced control systems for the semiconductor industry.We use machine learning and optimization algorithms to build models that deliver solutions meeting the needs of the fab zones.We establish automated platforms that utilize techniques such as machine learning and AI for automatic parameter optimization, which reduces staff workload and enhances quality.In collaboration with the system development team, we systematically implement and roll out innovative methods or improvements across various fab zones to boost staff efficiency and product quality.

Job DescriptionIntroduction to the jobCarry out software development following ASML Product Generation Process and V-ModelThe scope of this team including the SEM / Optics control and SEM / HW related calibration algorithm development, you will need to analysis/understand the SEM / HW behavior and bring out the solution to meet the requirements and the performance spec we need.Produce clean code and efficient algorithm in C#, C++ for electron optic, motion and system platform control and calibrationUtilize OOD and design patterns to formulate modular software systems per specsDesign and perform module unit test, simulation and system integration testsWrite professional design document and test planCarry out performance analysis, troubleshooting and technical supportTravel and the on-site support will be needRole and responsibilitiesCooperate with engineering team for system improvement and developmentAssist customer service team, application team to conquer field site issues.Support in house engineering, production and manufacture team to construct tool, testing bench for system qualification and methodology for performance evaluationEducation and experience- Master Degree above- Major in Computer Science and Information Engineering/Electrical Engineering/Electronics Engineering- Over 6 years experience in image processing algorithm design, parallel computing and algorithm optimization by using C++- Solid experienced software engineer or leader using object-oriented programming. At least 3 years of C# development.- Strong experience on the .NET platform (C#, LINQ, Threading, Remoting, WPF, XML, IO, etc.) Experience on software product development lifecycles, using UML, OOP, design patterns and best practices.SkillsC/C++ languageC# languageDigital image / signal processing design and implementationGUI development by using WinForm and WPF.Net Remoting or WCF for cross machine/computer communication.Net Framework / standard / CoreExperience with mechanical control development.Knowledge of mechatronics and opticsBasic database knowledgeThis position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.Diversity and inclusionASML 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.

1. Thermal solution design and optimization.2. Perform CFD analysis to evaluate thermal solution.3. Perform thermal measurement and thermal model alignment.4. Engage in fan control algorithm optimization.5. Cross-function work to provide proper thermal solution.6. Cooling technology study.

Drive product feature strategy that focus on user acquisition and conversion, through both user-facing and seller-facing featuresIdentify growth opportunities through product features (UI/UX, algorithm recommendation)Conduct analyses to gain insights, and propose solutions to support growth objectivesDrive product feature roll-out by collaborating with peers and stakeholders within the organization