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1.半導體濕製程設備的自動化電路控制設計經驗2.熟識電工法規或S2安規認證的對應3.具有AutoCAD電路圖繪圖/審圖能力

【工作內容】1.光學機構設計2.新機構技術開發3.新技術驗證/導入

1.機構設計開發。 2.零件圖發包製作與跟催。 3.機構測試與驗證。

About the Internship 設備工程實習生將參與設備工程與智慧製造相關專案，透過實際工程任務學習設備設計、自動化設備改善與生產工程流程。 在實習期間，你將與設備工程團隊合作，了解電子零組件製造產線的設備技術與工程應用。 ________________________________________ What You Will Do • 協助客製化設備機構設計與設備改善 • 參與自動化設備改善專案 • 使用 CAD / SolidWorks /Pro/E進行工程繪圖 • 協助設備性能分析與改善 • 了解智慧製造與設備工程流程 ________________________________________ What We Are Looking For 1.大四或碩士在學學生 2.機械相關工程科系 3.熟悉 Office 文書軟體 4.具備良好的邏輯思考與問題分析能力 5.主動積極並具備團隊合作精神 6.具備跨文化能力、樂於挑戰自己 7.熟悉 CAD / SolidWorks / PROE 等工程繪圖軟體 8.具備設備設計或自動化相關專題經驗 ________________________________________ Internship Information Program Duration 2026 年 7 月 – 2026 年 8 月（2 個月） Location 乾坤科技海外製造據點 Monthly Salary NTD 35,000 – 45,000 Internship Benefits 提供來回機票、免費膳宿（主管套房或家庭式宿舍）、海外出差補助 ________________________________________ What You Will Gain • 參與設備工程與自動化專案 • 與資深設備工程師共同合作 • 深入了解智慧製造與設備工程流程 • 表現優秀者未來有機會優先加入乾坤科技

1.依據生產與製程需求，使用 AutoCAD、SolidWorks 進行機構與設備設計、2D/3D 製圖。2.負責零組件與整體結構設計、修改與組裝圖繪製，確保符合功能、安全與可製造性。3.將現場問題轉化為設計方案，開發改善用機構或裝置，並追蹤加工製作與驗收。4.建立與維護設計圖面、BOM、技術文件及設計變更紀錄，配合導入電子化管理（如 PDM）。5.支援新技術、新設備導入與測試，確保性能與製程穩定性。6.熟悉機械材料與加工製程，具基本強度分析、公差設計與組裝精度評估能力。7.跨部門協調，提供現場技術支援與改善建議，提升生產效率。

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.Position OverviewThe Industrial Designer intern will work alongside senior designers in developing and refining product designs from concept to production. This role offers an excellent opportunity to grow and develop your skills in a collaborative and supportive environment.Roles and ResponsibilitiesAssist in brainstorming and concept development.Create sketches, renderings, and prototypes.Develop 3D models using CAD software.Participate in design reviews and contribute to discussions.Conduct research on materials, manufacturing processes, and market trends.Prepare presentations and documentation for design proposals.Support senior designers in project execution.Collaborate with engineers and other team members to ensure design feasibility.Work EthicWe are seeking a candidate who demonstrates the following work ethic:Proactive: Takes initiative and seeks opportunities for growth and improvement.Collaborative: Works effectively in a team environment and values input from others.Detail-Oriented: Pays close attention to detail and strives for accuracy in all work.Adaptable: Open to feedback and willing to adjust approach as needed.Responsible: Takes ownership of tasks and meets deadlines.Curious: Continuously seeks to learn and improve design skills and knowledge.Passionate: Shows enthusiasm and passion for design.QualificationsBachelors degree in Industrial Design or related field.Proficiency in 3D modeling software (e.g., SolidWorks, Rhino).Strong sketching and rendering skills.Basic understanding of manufacturing processes.Portfolio demonstrating design skills and creativity.Across 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Mechanical Engineering or equivalent practical experience. 5 years of experience in mechanical design, manufacturing and electro-mechanical systems and products. Experience in working with suppliers via Product Life Cycle (PLC) engagement models (e.g., Agreement Manufacturer, Joint Design Manufacturing Model (JDM), and Original Device Manufacturer (ODM)). Experience in 3D CAD (e.g., Creo, SolidWorks), Product Data Management (PDM) systems (e.g., Agile, Windchill), Critical to Function (CTF) dimensioning, 2D drawings and tolerance analysis. Preferred qualifications: Knowledge of Statistical Process Control (SPC) and process capabilities. Knowledge of data center machine and rack designs. Knowledge of fixture design and materials selection of common metals and plastics. Knowledge of Design Failure Mode and Effect Analysis/Process Failure Mode and Effect Analysis (DFMEA/PFMEA) fundamentals. Ability to learn, adapt to new situations, and work as part of a cross-functional team. Excellent technical program management and communication skills. About the jobIn this role, you will play a role in manufacturing mass production of Google’s data center products in Cloud Supply Chain Operations (CSCO). You will have the opportunity to early engage New Product Introduction (NPI), influence Design for Excellence (DFx) changes, lead projects and make significant contributions to Google's manufacturing processes. You will build and deploy technology to support the needs of compute, storage, networking, and machine learning hardware.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Review and influence designs using Design for Manufacturing and Assembly (DFM/DFA) fundamentals to develop manufacturable and scalable products. Collaborate with cross-functional teams including Mechanical Engineering, Supply Quality Engineering, Program Managers and Global Commodity Manager. Lead product qualifications from mechanical parts and assemblies to L11 rack integration at agreement manufacturing partners. Drive the Root Cause Correction Action (RCCA) investigations to resolve manufacturing and system assembly issues. Audit suppliers, and influence sourcing strategy by providing technical feedback to the commodity management team. Lead mechanical part suppliers to improve the manufacturing yield, efficiency and throughput. Analyze product system assembly needs, influence mechanical designs changes, and identify solutions to problems. Lead manufacturing process design, optimization, and qualification. Be responsible for the mechanical parts qualification and factory physical capacity increase to build up a supply chain resilience. 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 in Mechanical Engineering, Industrial Engineering, Electrical, or equivalent practical experience. 5 years of experience with configuration/systems engineering and related system assembly, including Bill of Material (BOM) structure and product configuration management. Experience in using technical productivity tools such as Product Data Management (PDM)/Product Lifecycle Management (PLM) tools (e.g., Windchill, Agile), CAD 3D modeling tools (e.g., Creo, Solidworks). Preferred qualifications: Experience in developing and maintaining system level compute architectures, with an understanding of interdependencies from a power, networking, and physical interface perspective. Ability to proactively influence the product design process for design for manufacture and assembly considerations. Excellent attention to detail, investigative, and organizational skills, with the ability to produce a timely and accurate work product. About the jobGoogle's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience. As a Configuration Engineer within Manufacturing, you will join the team responsible for designing and delivering efficient and capable system configurations to Google’s data center fleet. You will collaborate with cross-functional teams to deliver configuration engineering designs, working with stakeholders and customers to ensure that the team delivers well-engineered compute permutations. In this role, you will help Product teams deliver consistent results while improving process transparency and predictability. You will be a subject matter expert on the incumbent process and data structures, and influence and affect the transformation of internal business processes and procedures. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities Design and create system-level deployment configurations (e.g., rack, rack payloads) for compute and networking assemblies based on customer and technical infrastructure requirements. Create design documentation (e.g., BOMs, payload layouts, wiring diagrams) for approved production definitions for compute and networking systems. Provide technical knowledge and system-level guidance to internal Design and Development teams to ensure deployment of optimized configurations. Participate in and contribute to cross-functional transformation efforts as pertinent to configuration engineering processes and deliverables. Provide engineering and manufacturing guidance to integration supply chain partners, as it pertains to rack configuration and deployment activities. 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 will be prioritizing applicants who have valid working rights in Thailand and do not require Google’s sponsorship of a visa.Note: Google's hybrid workplace includes remote roles.Remote location: Thailand.Minimum qualifications: Bachelor's degree in Electrical Engineering, Mechanical Engineering or equivalent practical experience. 8 years of experience in Printed Circuit Board Assembly (PCBA), and with in SMT processes. Experience with process and production line assembly development. Experience in leading design for manufacturability, hardware manufacturing, and lean manufacturing. Experience in developing relationships with contract manufacturers. Preferred qualifications: Master's degree in Electrical Engineering, Mechanical Engineering or equivalent practical experience. Experience with statistical product quality control, process capability, failure analysis, and process improvement. Experience with product data management systems (e.g., Agile, Windchill) and 3D CAD modeling tools, such as SolidWorks or Pro Engineer. Knowledge of IPC Workmanship Standards and ISO 9000. Ability to be well-focused, give attention to details, and commit to produce a timely and highly accurate work product. Excellent investigative, organizational, leadership, written and verbal communication skills. About the jobGoogle's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Liaison for the manufacturing engineering to Google new technology teams, understand project requirements, assess product technologies and develop a manufacturing plan and supply chain to support it. Provide technical expertise and leadership throughout the product lifecycle, drive DFX, supporting New Product Introduction (NPI) builds and develop Google's supply chain. Provide strong technical influence and DFX that would benefit manufacturability. Build up CM capabilities in SMT, process, test, root cause analysis and communications. Develop and distribute manufacturing documentation in support of product design, configuration, process and build requirements, document such items as bill of materials (BOM), assembly drawings, manufacturing work instructions, Tooling/Jig, etc. 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.

【你將在此實習旅程中學到】 －理解零件機構圖(2D/3D)設計重點與工程思維。 －建立工程問題分析邏輯與解決能力。 －熟悉工程文件撰寫與技術表達方式。 －了解機構測試流程與驗證方法。 －認識產品發包與研發作業流程。 －培養跨部門與對外部溝通能力，強化邏輯思維與職場協作力。 【學習收穫與未來發展】 1.完整參與產品開發實務流程 2.提供實習證明與成果回饋 3.表現優異者畢業後優先轉任正職工程師【工作內容】1.負責機構研發相關工作(如Solidworks、AutoCAD繪圖)。 2.協助零件圖發包製作與跟催。 3.協助部門測試樣品及問題分析、改善報告。 【實習期間條件】 ＊對象：自即日起2026/6 大三以上或碩士的在校生(身份不符不另作通知) ＊實習期間-暑期、一學期或一學年，每周可上班3~5天，每周24~40小時(可配合學校實習學分制度) ＊待遇：依據可配合之實習時數160小時/月以上（含）者，採月薪制；未達160小時/月者，採日薪制。