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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. Are you a creative IT professional with strong technical aptitude who embraces changes and is passionate about data and information? We invite you to join our highly innovative data engineering team which is constantly designing, developing, and delivering high quality solutions for our customers. As a data engineer, you will have opportunities to work in a dynamic and fast-paced environment to collaborate with business functions to design solutions. You will translate business requirements into technical needs, connect and automate data pipelines, and deliver data architecture and data governance solutions. Responsibility: Perform IT system architecture design, new technology research, and provide recommendation.Design and implement optimal data pipeline architecture (considered high data volume, data governance, etc.).Work with PRODUCT/BIZ teams to assist with new data platform re-engineering or data-related technical issues.DataOps high availability NoSQL DB (e.g.: Cassandra, S3/MinIO, MariaDB, etc.) on K8s environment.

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 comput

Note: This is a mirrored copy of the posting from AMD's Career Page. For the official and most up-to-date listing, please refer to AMD's Career Page.---WHAT YOU DO AT AMD CHANGES EVERYTHINGAt AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE:We are seeking an experienced and motivated engineer in the semiconductor and advanced packaging industry with expertise in analytics systems. In this role, you will translate a deep understanding of yield issues and complexities arising in heterogeneous integration into effective systems and analytics solutions. These solutions will empower our manufacturing partners to reduce variability and drive higher yields, directly impacting the success of innovative packaging technologies.THE PERSON:The ideal candidate is a dynamic problem solver who thrives in fast-paced, cross-functional environments. They have deep expertise in advanced packaging, a strong grasp of analytics systems, and an exceptional ability to synthesize technical concepts into practical applications for yield improvement. With a commitment to innovation, adaptability, and clear communication, they are equipped to influence and shape the analytics landscape for manufacturing partners. Above all, they are dedicated to advancing yield management and analysis for heterogeneous integration.KEY RESPONSIBILITIES: - Develop, deploy, and maintain advanced analytics frameworks and systems designed for yield analysis and variability reduction in heterogeneous integration and packaging. - Work closely with manufacturing partners to identify key yield issues and deliver actionable analytics solutions. - Design and implement tools and methodologies to manage and analyze advanced packaging yield data. - Act as a technical liaison between manufacturing partners and internal development teams to ensure that systems are functional, efficient, and aligned with strategic goals. - Collaborate with cross-functional teams to improve processes, address gaps, and enhance the robustness of advanced analytics solutions. - Promote innovation by integrating cutting-edge methodologies and solutions for enhanced yield analytics.PREFERRED EXPERIENCE: - In-depth experience with challenges and yield analysis in advanced semiconductor packaging, including 2.5D and 3D heterogeneous integration. - Expertise in analytics systems, data management, and software-driven solutions. - Proven track record of collaboration with manufacturing partners on yield improvement. - Python programming and software engineering experience in web app development. - Strong problem-solving skills and the ability to manage the complexities of heterogeneous integration. - Familiarity with electronic systems and solution implementation in advanced manufacturing. - Experience influencing analytics software vendors roadmap.ACADEMIC CREDENTIALS:Bachelor's or Master's in Electrical Engineering, Chemical Engineering, Mechanical Engineering, Software Engineering, Data Analytics, Computer Science or similar.LOCATION:Hsinchu, Taiwan#LI-SC1#LI-HYBRID Benefits offered are described: AMD benefits at a glance.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.This posting is for an existing vacancy.

Note: This is a mirrored copy of the posting from AMD's Career Page. For the official and most up-to-date listing, please refer to AMD's Career Page.---WHAT YOU DO AT AMD CHANGES EVERYTHINGAt AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE:Join AMD’s team of highly skilled engineers in managing the manufacturing operations for our leading-edge Graphics products. Our Asia Base operations gives Engineer exposure to multiple AMD product development, design, and manufacturing operations team, and will give this engineer the ability to have a major impact in product development and enablement, yield improvement and drive revenue for years to come. There are tremendous opportunities for career development and personal growth in this position.THE PERSON:This position requires the candidate with good interpersonal communication skills, and he (or she) is capable to work independently and work with other groups to provide solutions or workaround to quickly mitigate the production risk. It is highly required the knowledge of statistical analysis and the candidate must be proficient in both spoken and written English and Chinese.AMD's environment is fast paced, results oriented and built upon a legion of forward-thinking people with a passion for winning technology. This is an extraordinary opportunity to work in an outstanding company like AMD - Join us!KEY RESPONSIBILITIES: - Manage the flawless test and process execution by introducing new products and their ramp to volume production in manufacturing partners. - Lead sustaining yield activities which include driving product performance and margin improvement by working closely with our operations and development teams. - Manage product yield dedication, engineering activities during the product development stage including design validation, performance, characterization, qualification, and release to production. - Lead multi-functional teams and maintain committed schedules on multiple projects while collaborating with other engineering functions different levels of management. - Work with the Manufacturing, Design, Quality, and Failure Analysis teams in the disposition of product excursions and manage cases through a material review board.PREFERRED EXPERIENCE: - Familiar with semiconductor process, yield analysis and product characterization. - Fluent English is required. Good communicator in verbal and writing English. - Knowledgeable in statistical methods and tools (JMP) for data analysis. - Years of experience on data analysis and yield improvement. - Experience with product testing on Advantest V93000 will be a plus.ACADEMIC CREDENTIALS: - Bachelor’s or master’s degree in Electronics / Electrical Engineering or equivalent field with preferred relevant years of experience. LOCATION:Hsinchu, Taiwan#LI-SC1#LI-HYBRID Benefits offered are described: AMD benefits at a glance.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.This posting is for an existing vacancy.

我們在尋找熱愛創新、善於解決問題的你！隨著AI的發展，軟體開發的領域也進一步深化，身為友達的全端工程師，你將負責雲開發與數據工程開發，並導入AI工具，增進團隊開發的效率與深度。友達光電誠摯邀請您加入我們，與我們共創未來！【工作內容】1. 負責AWS/Azure全端開發與維護 (側重後端)。2. 實作後端 API 與 Databricks 數據平台之整合與介接。3. 協助數據工程開發，包含編寫 PySpark 處理流程。4. 導入與優化 AI 開發工具，提升團隊開發效率。

Note: This is a mirrored copy of the posting from AMD's Career Page. For the official and most up-to-date listing, please refer to AMD's Career Page.---WHAT YOU DO AT AMD CHANGES EVERYTHINGAt AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE:The Product Development Group is looking for a System Test Engineering Manager focused on our Datacenter Accelerated Computing products. We are looking for a dynamic and energetic leader to join our growing team. As a key contributor to the Product Development Group, you will work in cross-functional teams to deliver industry leading products forArtificial Intelligence(AI),Machine Learning (ML),and High-Performance Computing(HPC)applications.Specifically, this role is focused on manufacturing test solutions and automation, validation, and cross-functional program managementtohelp our manufacturingpartners’deliverAMD’s leading datacenter GPUs.THE PERSON:Acandidatewho: - Has strong analytical thinking andproblem solvingskills with excellent attention to details - Experience working with cross-functional stakeholders to drive yield improvements to the manufacturingprocess - Must be a team player but also be able to work efficiently with minimalsupervision - Has a strong interest inthe manufacturing ofGPU hardwareandknowledgeofAI,ML,and HPC products - Experience with hardware and software design and implementation - Isvery familiarwithLinux, and computer hardwarevalidationKEY RESPONSIBILITIES: - Develop test strategy for new product features including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software. - Review and provide feedback for DFT in the early design stages. - Debug complex hardware and software issues during build phases. - Define qualification, maintenance, and release procedures for test solutions used in manufacturing of data center products - Contribute to automated diagnostic generation and validation infrastructure. - Define manufacturing hardware test solutions that translate into methodologies and processes applicable across Board and System product segments. - Support the development of test content and solutions in Python. - Investigate and introduce new manufacturing test technology and methodology to improve production efficiency. - Identify and plan product improvement activities to reduce cost, improve yield and resolve quality issues. - Solves complex, novel and non-recurring problems; initiates significant changes to existing processes/ methods and leads development and implementation. - Contribute to our automated Diag generation and validation infrastructure. - Review and provide feedback for DFT in the early design stages. - May provide technical supervision or mentoring junior engineers. - Influences others as a technical leader. - Develop and maintain effective working relationships with other departments.PREFERRED EXPERIENCES: - BS Degree in Computer Engineering or Electrical Engineering (MS preferred) - Experience working with manufacturing test programs at platform level. - Excellent 水xperience with post-silicon validation experience in Board or System products. - Background with Python programming and bash scripting. - Excellent experience working with manufacturing test solutions in data centers - Excellent problem-solving skills, attention to detail, and effective communication skills. - Excellent experience with developing tests, patterns/vectors, timing, and diagnostics on Automated Test Equipment. - Debug experience in hardware, software, device, and/or manufacturing domains. - Experience with a scripting language (Perl, Ruby, shell script, or similar). - Experience with Linux or Unix Operating Systems. - Experience in XP, AGILE, Scrum, or Kanban as Scrum Master or Product Owner. - Experience with revision control (GIT, SVN, CVS, RCS or similar). - Experience with C++, Java, C, or C#. - Solid Knowledge of IPMI, PCIE, BMC, and Thermal Solutions. - Good communication skills and the ability to work with geographically distributed product engineering teams.LOCATION:Hsinchu, Taiwan - #LI-SC1 - #LI-HYBRID Benefits offered are described: AMD benefits at a glance.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.This posting is for an existing vacancy.

Note: This is a mirrored copy of the posting from AMD's Career Page. For the official and most up-to-date listing, please refer to AMD's Career Page.---WHAT YOU DO AT AMD CHANGES EVERYTHINGAt AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE:The Product Development Group is looking for Test Engineers focused on our Datacenter Accelerated Computing products. We are looking for dynamic and energetic engineers to join our growing team. As a key contributor to the Product Development Group, you will work in cross-functional teams to deliver industry leading products forArtificial Intelligence(AI),Machine Learning (ML),and High-Performance Computing(HPC)applications.Specifically, this role is focused on manufacturing test solutions and automation, validation, and cross-functional program managementtohelp our manufacturingpartners’deliverAMD’s leading datacenter GPUs.THE PERSON:Acandidatewho: - Has strong analytical thinking andproblem solvingskills with excellent attention to details - Experience working with cross-functional stakeholders to drive yield improvements to the manufacturingprocess - Must be a team player but also be able to work efficiently with minimalsupervision - Has a strong interest inthe manufacturing ofGPU hardwareandknowledgeofAI,ML,and HPC products - Isvery familiarwithLinux, and computer hardwarevalidationKEY RESPONSIBILITIES: - Develop test strategy for new product features including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software. - Review and provide feedback for DFT in the early design stages. - Debug complex hardware and software issues during build phases. - Contribute to automated diagnostic generation and validation infrastructure. - Define manufacturing hardware test solutions that translate into methodologies and processes applicable across Board and System product segments. - Support the development of test content and solutions in Python. - Investigate and introduce new manufacturing test technology and methodology to improve production efficiency. - Identify and plan product improvement activities to reduce cost, improve yield and resolve quality issues. - Solves complex, novel and non-recurring problems; initiates significant changes to existing processes/ methods and leads development and implementation. - Contribute to our automated Diag generation and validation infrastructure. - Review and provide feedback for DFT in the early design stages. - May provide technical supervision or mentoring junior engineers. - Influences others as a technical leader. - Develop and maintain effective working relationship with other departments.PREFERRED EXPERIENCES: - BS Degree in Computer Engineering or Electrical Engineering (MS preferred) - Experience working with manufacturing test programs at platform level. - 5+ years of experience with post-silicon validation experience in Board or System products. - Background with Python programming and bash scripting. - Excellent problem-solving skills, attention to detail, and effective communication skills. - 5 years of experience with developing tests, patterns/vectors, timing, and diagnostics on Automated Test Equipment. - Debug experience in hardware, software, device, and/or manufacturing domains. - Experience with a scripting language (Perl, Ruby, shell script, or similar). - Experience with Linux or Unix Operating Systems. - Experience in XP, AGILE, Scrum, or Kanban as Scrum Master or Product Owner. - Experience with revision control (GIT, SVN, CVS, RCS or similar). - Experience with C++, Java, C, or C#. - Solid Knowledge of IPMI, PCIE, BMC, and Thermal Solutions. - Good communication skills and the ability to work with geographically distributed product engineering teams.LOCATION:Hsinchu, Taiwan - #LI-SC1#LI-HYBRID Benefits offered are described: AMD benefits at a glance.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.This posting is for an existing vacancy.

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. 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