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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. 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)

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

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in ASIC hardware architecture and silicon design. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience designing low power ASIC hardware IP for SoCs in the following areas: Camera ISP, video codecs, display, graphics and machine learning networks. Experience collaborating cross-functionally with Product Management, SoC architecture, IP design and verification, camera, video, ML algorithm and software development teams. Experience in micro architecture, power and performance optimization. Experience in development of functional and performance models for architecture analysis. Knowledge of interconnect/fabric, security, multi-level caching architectures. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Responsibilities Define and deliver the hardware Graphics, AI, Multimedia IP integration architecture that meets power, performance, area and image quality goals. Collaborate with Graphics, Camera, Video, Display and ML software, system and algorithm engineers to co-develop and specify hardware IP architectures for integration into SoCs. Collaborate with GPU, TPU, camera ISP, video and display hardware IP design teams across global sites to drive the hardware IP architecture specifications into design implementation for SoCs. Collaborate with SoC and System architects on meeting power, performance and area requirements at the SoC level for multimedia use cases and experiences. Perform Functional/Performance modeling and detailed data analysis and trade-off evaluations to improve multimedia architecture solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in C/C++. 3 years of experience in image processing, computer vision algorithm design and development. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience in camera algorithm development experience. Experience in embedded system software development. Experience in Machine Learning. Experience with Python / JAX. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. We are looking for people who are passionate about photography and have imaging backgrounds to join the Pixel Camera team. The team is in charge of the end-to-end product, from research and developing the algorithms, prototyping, and to the commercialization. Our team's work goes directly into Pixel Phones. Specifically, this team focuses on Autofocus, depth computing, and other advanced computational photography features. Its mission is to keep cameras sharp and clear; develop and support amazing computational photography features for Pixel Phone Cameras.Googles mission is to organize the worlds information and make it universally accessible and useful. Our Devices Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our users interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices Services team is making peoples lives better through technology.Responsibilities Design Autofocus and other computational photography/computer vision features related to depth map, tracking, saliency etc. Commercialize Computer Vision (CV) and other computational intensive algorithms. Work with cross-functional teams such as Hardware, Research and Image Signal Processor (ISP)/Tensor Processing Unit (TPU) chip design teams. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in C++. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, technical related field, or equivalent practical experience. Experience in camera system design, including Image Signal Processor (ISP) drivers, color science, algorithms in image/video processing, system performance and power. Experience with design, debugging, performance and parallel design of the multiple-cameras system. Knowledge of camera hardware and processes. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.Responsibilities Manage pixel camera system software development, and camera software stack to support Android camera Hardware Abstraction Layer. Support camera hardware driver development, testing, and validation on emulations and silicons. Manage pixel camera system software performance, power and memory optimization, and camera software and driver bring-up silicons. Develop machine learning and computer algorithm integration, ambient, and computing. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.