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【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)。

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.About Us: At Logitech, we are committed to delivering exceptional audio experiences through innovative products. We are seeking a dedicated and skilled Audio Quality Assurance Engineer to join our development team and ensure the highest audio quality standards for our future audio products.Your Contribution: Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech.Job Description:As an Audio Quality Assurance Engineer, you will drive QA activities for our audio products, ensuring they meet the highest standards of performance and quality. You will play a critical role in the evaluation and validation processes during the development stages. This position requires a keen ear for audio quality, technical expertise, and the ability to collaborate effectively with cross-functional teams.Key Responsibilities:End to End Audio QA activities, including comprehensive manual testing, to validate audio performance.Utilize sophisticated and specialized audio measurement equipment to assess and ensure the quality of our audio systems.Conduct active listening sessions to evaluate the audio quality of our devices and provide detailed feedback.Create detailed test plans and strategies to guide the QA process throughout the product development lifecycle.Schedule, execute, and delegate test runs, ensuring thorough coverage and adherence to timelines.File high-quality bug reports to facilitate efficient debugging and resolution of audio-related issues.Actively manage and triage reported issues, participating in root cause analysis and defect resolution.Use internal development tools to extract logs and other relevant data from systems under test.Collaborate closely with cross-functional teams, including engineers, designers, and product managers, to ensure seamless integration of QA processes.Qualifications:Proven experience in audio quality assurance or a related field in a leading position.Strong understanding of audio measurement and evaluation techniques.Experience with automated testing tools and frameworks.Excellent analytical and problem-solving skills.Exceptional attention to detail and a keen ear for audio quality.Strong communication and collaboration skills.Ability to manage multiple tasks and prioritize effectively.Additional Qualifications:Experience with audio hardware and software development.Familiarity with programming languages and scripting for test automation is a plus.Knowledge of audio codecs, DSP, and related technologies.Why Join Us:Be part of a dynamic team dedicated to creating innovative audio products.Opportunity to work with cutting-edge technology and specialized equipment.Collaborative and inclusive company culture.Competitive salary and benefits package.If you are passionate about audio quality and have the expertise to ensure our products meet the highest standards, we would love to hear from you. Apply today to join our team at Logitech and help shape the future of audio experiences. #LI-MR2Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

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.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. 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)

About The Role The Data Engineer is responsible for managing the StraitsX’s data pipeline that underlie all our ETL/ELT process and data warehouse solutions. The teams’ mission is to achieve maximum efficiency and stability of the entire data infrastructure.What Will You Do As a Data Engineer, you will work to ensure the smooth running of all our data pipelines, and that accurate data is available in a timely manner for management to make informed decisions and operational teams to track their metrics. The responsibilities include: Develop and maintain data pipeline and infrastructure for ETL/ELT process, Data Warehouse, Business Intelligence reporting.Create active and passive monitoring for data infrastructure (alerts, usage dashboards, etc).Manage access control to data infrastructure.

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.

BẤM NÚT APPLY/ ỨNG TUYỂN ĐỂ XEM THÊM THÔNG TIN CHI TIẾTResponsibility Exploratory data analysisApplying advanced algorithm to derive value businessA/B TestingWork with analytics translator to understand business’s needs Requirements: Pursuing a degree in Computer Science, Mathematics, Statistics, or a related field. GPA 7/10 or 2.8/4Willing to take 6 months duration ready to start in Jan/March 2026Strong programming skills in languages such as Python, R, or Java, and familiarity with data manipulation and analysis libraries such as Pandas, NumPy, and Scikit-learn. Knowledge of SQL, databases, and data modeling is also preferred.Analysis large-scare data set and big data.Basic statistic machine learning is strong plus. ** Only shortlisted candidates will be contacted!

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.