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🏢 公司介紹 我們的客戶是台灣最具規模與影響力的零售集團龍頭，積極拓展多元化的電商平台生態系。作為台灣零售業的標竿企業，該公司持續引領產業創新，近年積極推動全面數位轉型，整合線上線下（O2O）資源，打造台灣最大規模的全通路零售平台。 為什麼加入我們？ 產業領導地位：台灣零售業龍頭，擁有穩健發展基礎與龐大數據資產 數位轉型先鋒：目前正全力投入集團電商整合與數位化升級，是參與零售科技革命的絕佳時機 絕佳職涯發展：在數位經濟時代，您的專業能力將直接對數百萬消費者與企業營收產生顯著影響 工作內容介紹 領導團隊：帶領資料科學家與資料工程師團隊，訂定技術目標，打造以成長與創新為核心的團隊文化。 技術路線圖：規劃並執行資料科學與AI技術策略，導入機器學習平台與雲端資料解決方案，確保系統高效與可擴展。 跨部門協作：與工程、行銷與產品團隊合作，將業務需求轉化為數據驅動的解決方案，推動個人化推薦與預測分析專案。 資料合規：確保資料處理流程符合隱私與合規要求，建立安全且穩健的資料管線。 專案管理：監督資料蒐集、建模與部署流程，確保專案成果能有效落地並創造商業價值。 使用的技術 程式語言：Python、R、Java 雲端平台：AWS、Google Cloud Platform（BigQuery）、Azure（Redshift、Databricks） 大數據技術：Spark、Hadoop、Airflow、AWS Data Pipeline 機器學習框架：TensorFlow、PyTorch、MLflow、Kubeflow 容器與CI/CD：Kubernetes、Docker 其他：ETL/ELT流程、敏捷開發（Scrum/Kanban）、A/B測試、CDP與MarTech整合

公司介紹 這是一家長期深耕金融科技與數據應用的知名金融機構，擁有龐大的金融交易與客戶數據基礎，持續投入 AI、數據分析與智能化服務發展。團隊致力於將機器學習技術實際應用在金融服務場景中，例如智能推薦、風險分析、語言模型應用與流程自動化等，讓 AI 技術真正影響數百萬用戶的金融體驗。 在這個團隊中，你將有機會參與大型數據環境下的 AI 專案，將模型從研究、開發到實際部署，並與產品與業務團隊合作，將機器學習能力落地到實際商業場景。對於希望將 AI 技術真正應用於高影響力產業場景 的工程師而言，是非常具有發展性的舞台。 工作內容 開發與優化機器學習模型，應用於金融服務與內部流程優化 與業務單位合作，將實際業務問題轉換為可落地的機器學習問題 建置與部署 AI 模型服務，提升系統自動化與智能化程度 參與模型設計、實驗、評估與部署流程 協助推動 AI 技術在產品與服務中的應用 使用的技術 Python TensorFlow / PyTorch / Scikit-learn RESTful API NLP / 語音模型 / 推薦系統 / 影像辨識（依專案需求）

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 looking for a dynamic, energetic Lead /Systems Design Engineer to join our growing team. As a key contributor to the success of AMD’s product, you will be part of a leading team to drive and improve AMD’s abilities to deliver the highest quality, industry leading technologies to market. The Systems Design Engineering team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.  THE PERSON: As a Leader in Systems Design Engineering, you will drive balanced, scalable, and automated solutions. In this high visibility position, your software systems engineering expertise will be necessary towards product development, definition, and root cause resolution.  KEY RESPONSIBILITIES:  - Work with OEM/ODM partners to deploy AMD client solutions to products. - Provide design review, including hardware block-level, circuit and layout, and recommendation for partner/customer's platform using AMD solution - Driving technical innovation to improve AMD’s capabilities across validation, including platform deployment, technical and procedural methodology enhancement, and various internal and cross-functional technical initiatives - Debugging issues found during the process, bring-up, validation, and production phases of client programs  - Working closely and consolidate with supporting technical teams - Leading collaborative approach with multiple teams PREFERRED EXPERIENCE:  - Solid industry experiences in x86 hardware and product development. - Proven ability to lead and deliver large cross-functional technical deliverables. - Proven system design leadership experience and communication skills. - Issue analysis and debug techniques and methodologies - Extensive experience with board/platform-level debugging, including delivery, sequencing, analysis, and optimization - Extensive knowledge of system architecture, technical debug, and validation strategyStrong analytical/problem-solving skills and pronounced attention to details ACADEMIC CREDENTIALS:  - Bachelors or Masters degree in electrical or computer engineering#LI-IH1 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.

This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience. 2 years of experience in a technical role such as technical support, software engineering, or solutions engineering. Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms. Experience with Artificial Intelligence (AI) concepts and Machine Learning (ML) techniques. Experience with computer networking (e.g., TCP/IP, DNS, load balancing, routing) and Linux/Unix system administration. Preferred qualifications: Professional-level certification on Google Cloud, such as the Professional Machine Learning Engineer or Professional Cloud Architect. Experience with Google Cloud's AI/ML product portfolio, including Vertex AI (Vertex AI Workbench, Pipelines, Endpoints, TensorBoard) and Generative AI tools (Gemini, Gen AI Studio). Experience in specialized ML areas like Natural Language Processing (NLP), Computer Vision, or Recommendation System. Experience with public cloud infrastructure and core services (e.g., Compute Engine, Cloud Storage, BigQuery). Knowledge of ML frameworks such as TensorFlow, Keras, or PyTorch. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Technical Solutions Engineer, you will own our large and important customer issues in addition to providing level two support to our other support teams. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud.In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation. You will help drive the success of Google Cloud by understanding and advocating for our customers issues.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Troubleshoot and resolve technical issues across the Google Cloud AI/ML portfolio, focusing on customer-reported, deployment failures, model performance degradation and infrastructure-related problems. Work directly with customers on their ML deployments, including generative AI models to ensure production readiness and high availability. Utilize coding and scripting skills (primarily Python) to read, debug, and reproduce customer issues within their ML models (TensorFlow, PyTorch) or deployment environments (Kubernetes, Compute Engine). Manage customer problems through effective diagnosis, clear documentation and the development, implementation of new investigation tools to increase diagnostic speed. Develop an understanding of Google Cloud's AI/ML solutions and share this knowledge to upskill the wider global support organization. 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.

This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience. 5 years of experience in a technical role such as Technical Support, Software Engineering, or Solutions Engineering. Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design. Experience with Artificial Intelligence (AI) concepts and Machine Learning (ML) techniques. Experience with computer networking (e.g., TCP/IP, DNS, Load Balancing, routing) and Linux/Unix system administration. Preferred qualifications: Professional-level certification on Google Cloud, such as the Professional Machine Learning Engineer or Professional Cloud Architect. Experience with Google Cloud's AI/ML product portfolio, including Vertex AI (Vertex AI Workbench, Pipelines, Endpoints, TensorBoard) and Generative AI tools (Gemini, Gen AI Studio). Experience in specialized ML areas like Natural Language Processing (NLP), Computer Vision, or Recommendation System. Experience with public cloud infrastructure and core services (e.g., Compute Engine, Cloud Storage,BigQuery). Knowledge of ML frameworks such as TensorFlow, Keras, or PyTorch. Ability to lead the design and implementation of AI-based solutions or debugging tools, demonstrating strong collaborating skills. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. Our Technical Solutions Engineers lead and own our large and important customer issues in addition to providing level two support to our other support teams. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud.In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation. Our Technical Solutions team is driven by customers and you will help drive the success of Google Cloud by understanding and advocating for our customers’ issues. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Troubleshoot and resolve highly technical issues across the Google Cloud AI/ML portfolio, focusing on customer-reported , deployment failures, model performance degradation and infrastructure-related problems. Work directly with customers on their ML deployments (including Generative AI models)to ensure production readiness,high availability. Utilize coding and scripting skills (primarily Python) to read,debug, and reproduce customer issues within their ML models (TensorFlow, PyTorch) or deployment environments(Kubernetes, Compute Engine). Manage customer problems through effective diagnosis,clear documentation and the development/implementation of new investigation tools to increase diagnostic speed. Develop an in-depth understanding of Google Cloud's AI/ML solutions and share this knowledge to upskill the wider global support organization. Participate in an on-call rotation, may include working non-standard hours,nights,or weekends as part of our global 24/7 support model. 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.

AI Software QA Intern (Next‑Gen Testing | AI‑Native Platform) Recommendation Letter for 6-months internship program from your University is a MUST for this job. Global Product Team | Quality Engineering / AI‑Driven Testing 🚀 About the Role — Quality Is the Intelligence Layer This is not a traditional QA internship. Our global workflow platform serves 500,000+ users worldwide and is evolving into a fully AI‑native system, built on modern Low‑Code/No‑Code (NCLC) technologies and accelerated by GenAI. In this transformation, Quality Assurance is no longer “the final step”—it becomes the intelligence layer that makes AI‑generated and AI‑assisted software reliable, safe, and trustworthy. We are actively applying AI to test‑case generation, expanding automated test coverage, and running performance and load testing as part of delivery excellence. We are looking for an exceptional AI Software QA Intern who wants to build a serious career in Quality Engineering—someone ambitious, disciplined, and passionate about testing, who is excited to work with both engineers and AI systems on complex, real‑world platforms. You will not just test software.You will learn how to guide and improve AI‑assisted testing and help shape how quality scales in an AI‑native world. 🎯 What You Will Experience at Bosch Vietnam As an intern, you will be immersed in a world‑class product environment, where you will: Learn through structured on‑the‑job training and continuous coaching (technical and soft skills)Work in a global, English‑speaking, multicultural teamGain hands‑on exposure to Agile delivery, reviews, and team ceremoniesValidate real platform quality outcomes - coverage, reliability, performance - not simulationsHave a clear conversion pathway reserved for top‑performing, high‑potential interns If you are eager to challenge yourself, sharpen your skills every day, and work in a team driven by innovation, excellence, and global collaboration, you will thrive here. 🛠️ What You Will Do (Real Work, Real Ownership) 1. AI‑Assisted Testing Intelligent Validation Use AI tools to draft test cases and test scenariosValidate AI‑generated outputs with critical thinking and QA rigorLearn how modern QA pipelines work: user stories → test cases → automationIdentify gaps, edge cases, and risks in AI‑generated tests and provide structured improvement feedback 2. Manual Automation Foundations Learn to develop, maintain, and execute manual test cases and test scriptsDocument test phases, defects, and bug reports clearly and professionallyExecute functional and regression testing across workflow applications and platform featuresSupport quality validation through UAT cycles where applicableGain exposure to automation growth, coverage metrics, and AI‑assisted testing 3. System Thinking: Workflows, Integrations Reliability Partner with Product Owners, engineers, and Senior QA engineer to deeply understand workflows and requirementsAnalyze defects and system behavior across integrated, multi‑system environmentsLearn quality engineering practices that scale, including a performance and reliability mindset 4. Professional Growth Team Contribution Participate in meetings, reviews, and daily collaboration with senior team membersImprove fast through coaching and feedbackTake ownership of tasks and drive them to real closure 🧠 What We’re Looking For (High Bar, Serious QA Career Path) Must‑Have (Mindset Fundamentals) Strong foundation in software / IT fundamentals and structured problem solvingGenuine passion for testing and quality—QA is your intended career pathHigh attention to detail; disciplined execution; ability to catch subtle logic and workflow issuesProfessional communication and confidence working in EnglishHigh learning agility and willingness to take responsibility Preferred (Strong Advantage) Exposure to test automation, scripting, or frameworks (e.g. Python, JavaScript)Familiarity with Agile, SDLC, or CI/CD conceptsCuriosity and enthusiasm for AI / GenAI tools in testing and quality engineering Internship Eligibility Final‑year or senior student in an IT‑related majorAble to work full‑time for approximately 6 months (Monday–Friday)Able to provide an official university recommendation letter 🔥 Culture Fit We hire interns who operate like future QA engineers: Take ownership and follow through until closureProfessional in communication and deliverablesResult‑oriented, high energy, and passionateStrong teamwork spiritAmbitious, action‑oriented, and eager to learn 🌍 What You Will Gain Real‑world experience in modern Quality Engineering (manual, automation, and AI‑assisted testing)Exposure to enterprise‑scale platforms and AI‑native testing approachesCoaching and mentorship from experienced QA engineers, developers, and product leadersA strong foundation for future roles in Quality Engineering, Automation, and AI‑Native Product Engineering

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 Data Center Platform Engineering organization is excited to hire a highly skilled individual that can provide leadership for building up successful GPU platform with key partners/customers. This role will need to drive early proof of concept engagement, and hands on work with ODM/OEM partners/customers during product/platform development phase, provide design review and validation recommendations based on the design required. The individual will also need to work with internal team for platform bring-up and debug the complex problems that arise during validation phases.THE PERSON:A highly motivated self-starter, good interaction with partners/customers. Person has to have experience in design and bringing up complex CPU/GPUs in a server system/Rack level. Have leadership skills in driving complex issues/problems and provide insight into not only designs but debug of complex system level problems.KEY RESPONSIBILITIES: - Work closely with ODM/OEM partners on Data center server solutions to support during NPI development phase till mass production - Develop and execute comprehensive customer enablement plans for Data Center products. - Lead and coordinate cross-functional engineering teams to deliver on customer requirements. - Transform internal product deliverables into customer-ready solutions, aligning with customer product development needs. - Plan and manage customer/partner training programs, ensuring readiness of documentation, collateral, hardware, and software tools, etc. - Orchestrate and facilitate diverse workshops to identify, assess, and mitigate customer product risks. - Own and drive customer program readiness to ensure successful and timely product launches (TTM). - Collaborate effectively with global technical teams across North America and APAC time zones to deliver results - Provide design review and recommendation for partner/customer's platform using AMD Data Center solution - Provide leadership input/recommendations to design, validation manufacturing test based on the SOC to platform design - Lead working on the bring-up of a partner/customer's Server/Rack/subsystem for given systems or platformsKey Qualifications: - Solid experiences in system or SOC level hardware design debug - Bring-up of complex computer systems that reside in Data Centers (CPU/GPU) - Strong system level debugging skill from HW, SW Driver perspective - Experience in working directly with local ODM partner or key OEM/CSP customers and enabling them to production - Team player with passion and willing to do whatever it takes for business success with a keen sense of urgency and strong drive#LI-IH1 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.

Realize your potential by joining the leading performance-driven advertising company! As a Senior Backend Engineer on the RD Team in our Taiwan office, you’ll play a vital role in designing and maintaining the robust systems that power our backend systems. You’ll build scalable data pipelines and backend services that process billions of daily requests, directly impacting how millions discover content worldwide. To thrive in this role, you’ll need: 5+ years coding experience in Java or similar OOP languagesExpertise with relational and NoSQL databases (MySQL, Vertica, Cassandra, Google BigQuery..)Experience with distributed systems (Spring, Maven, Kafka, Apache Spark, Hadoop..)Deep understanding of core data structures, common algorithms and algorithmic complexity (Big O notation).Proven track record building and managing data pipelinesProficiency with version control systems such as Git, CVS, or Subversion Bonus points if you have: Experience with Kubernetes and containerizationKnowledge of workflow automation (Airflow) How you’ll make an impact:As a Senior Backend Engineer, you’ll bring value by: Designing and developing high-performance backend services and improve Taboola’s recommendation Ad Quality infrastructure. Building and optimizing large-scale data pipelinesWriting clean, maintainable code following best practicesConducting thorough code reviewsTroubleshooting and resolving system performance issuesCollaborating with cross-functional teams on technical solutions Why Taboola?If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about: Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture. Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda. Ready to realize your potential?Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need. Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, Twitter, YouTube, the Taboola Life Blog.

Introduction The Ministry of Education (MOE) of Taiwan will launch the “International Semiconductor Talents Education Special Program (INTENSE Program)” for talents coming to Taiwan for study and employment after graduation. This program integrates government, industry, and university resources to expand the recruitment of International superior industrial talent students. NYCU will first target students from Vietnam, Indonesia, the Philippines, and India, Malaysia from Fall 2024. Degree: Master of Science (MSc degree) Application for Admissions Please check on https://reurl.cc/rv6VgO for latest Application Guideline.Application process：Please log in to the online application system at https://reurl.cc/YEvNY0.Required Documents:Admission application formStudy EssayGraduation Certificate of highest degree obtained (translation required if not originally issued in English or Chinese)Full transcript of records of highest degree obtained (including explanation of grading system; translation required if not originally issued in English or Chinese)Two recommendation lettersProof of English Language Proficiency with CEFR B2 levelPassport or other proving document of nationalityFinancial StatementQuestionnaire of INTENSE Program (Download from the Online Application System)Other Supporting Materials Curriculum Graduation credits requirement: At least 24 credits. (Does not include language-related courses)Please refer to: https://aa.nycu.edu.tw/aa/ch/app/data/list?module=nycu0069&id=2513Course Selection: https://timetable.nycu.edu.tw/ (Search for Department：Graduate courses → Graduate courses → International College of Semiconductor Technology) Scholarship Click here to see details Mandarin Learning Resources Below are some common Mandarin learning reference resources (mostly for free) for students to prepare for Mandarin studies in advance: Specifically for Indonesian students: https://intactbase.csu.edu.tw/ChinesePromotionSpecifically for Vietnamese students: https://intact.must.edu.tw/mandarin/Specifically for Filipino students: https://intactbase.ksu.edu.tw/application/mandarinNYCU Language Teaching and Research Center: https://mandarin.ltrc.nycu.edu.tw/TOCFL Official Website: https://tocfl.edu.tw/tocfl/

As a Global Quality Reliability Method Group Senior statistician for Micron Technology, Inc., you will work with different teams providing statistics and data science (DS) solutions that support taking company’s products from design to production, and to customer. Your primary responsibility will be utilizing statistical and DS knowledge and techniques to develop and implement methods for data analysis, modeling, and automation to ensure product quality and reliability, as well as to enhance production efficiency, and to guarantee customers’ satisfaction. You will be responsible for communicating and coordinating with Management, Product, Process, Assembly Test, and Quality Assurance groups, and external customers for product quality and reliability related issues. In addition, you will work with RMstats team as a subject matter expert (SME) to provide stats and data science consulting, project support, training, and mentoring. Responsibilities include, but not limited Work with RMstats team to complete routine component/system reliability testing results evaluation and reporting, including evaluation/analysis of abnormal behavior and work with relevant parties to address issues identified. Complete other requested DRAM, Mobile/Auto, NAND/mNAND, SSD, HBM, etc. reliability test data analysis and evaluation. Work with RMstats team and other teams to complete necessary tasks to maintain and improve all analysis tools, business procedures/processes owned or developed by the team. Collaborate with TEST, PE, GQ, and fab to address component/system tests needs for product quality reliability and production efficiency including timely evaluation and recommendation of test condition adjustment. Participation in and updating different departments’ weekly/monthly reliability meetings with necessarily follow up, providing consulting and support for reliability tests related DOE, data analysis, modeling, etc. Use advanced stats and DS techniques to develop solutions that address the needs of quality/reliability tests at wafer, component, and system level. Serve as the SME of Stats DS to provide companywide consulting and support in research and development of advanced stats and DS methods/procedures. Serve as an SME to provide consulting and support to management and engineering teams from Fab, PE, Assembly Test, Global Quality, and external customers in terms of product reliability and other stats / DS related subjects. Provide timely support to stats or data science related projects from areas across the company when requested. Work with the company’s Technical Leadership Program (TLP), stats and DS community to support and organize company’s Stats/DS events. Work with RMstats team to deliver scheduled data analysis courses at local sites and support the course and train the trainer needs from other areas across the company. Work with the company’s engineering, stats, and DS community to develop engineering stats and DS training courses and training material. Work with other stats and DS teams across company to provide mentoring for TMs in promoting statistical and DS based decision making practices.