Cake 找工作

Google welcomes people with disabilities.Minimum qualifications: PhD degree in Thermal Engineering, a related discipline, or equivalent practical experience. Experience in heat pipes, vapor chambers, heatsinks, thermal interface materials, fans, liquid cooling, or heat exchangers. Preferred qualifications: Experience in one or more advanced cooling techniques (e.g., liquid cooling, thermal interface materials, thermo-electric devices, two-phase heat transfer, or heat exchangers). Experience capturing temperature, pressure, velocity, power, flow rates, acceleration, displacement, sound, FloTHERM, IcePak, and CAD. Ability to start a full-time role in 2026. About the jobThe 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 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 Provide thermal engineering insight to design and develop system and subsystem boards for next generation server and storage products. Work with Google platform teams and cross-functional teams on new thermal management technology and solutions. Develop appropriate thermal specifications and thermal test procedures as necessary to ensure thermal design quality by collaborating, supervising, mentoring, and motivating suppliers to design and deliver high thermal performance products. Design thermal management hardware including material selection, heat sinks, heat exchangers, air movers, pumps, coldplate, quick disconnects, and all supporting equipment. Work with internal manufacturing teams and external fabrication vendors during the product development cycle. Provide sustaining engineering support and optimize hardware design on existing products. 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.

【職責範圍 Responsibilities】 打造企業級 AI 產品與客製化工作流：主要使用 React.js (搭配 TypeScript) 進行網頁前端開發，打造 Data Munger 核心平台與客製化的 AI 應用介面（包含：複雜數據儀表板、人機協作審核 HITL 介面等）。搭建與維護 Component Library：與 Product Designer 緊密合作，將 Design System 落地，建立並維護高重用性、易擴展的前端元件庫。複雜數據整合與渲染：與後端團隊密切協作，串接 RESTful API / GraphQL，流暢地處理並呈現龐雜的企業數據與 AI 生成結果。系統優化與維護：持續進行前端效能優化、重構與 Bug 修復，確保極致的 Web 體驗。發揮技術影響力：我們期待你不只是接收規格，更能主動提出產品體驗的優化方向、參與技術選型，並帶動團隊的工程實踐。

Google welcomes people with disabilities.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Taipei, Taiwan; Taoyuan, Taoyuan District, Taoyuan City, Taiwan.Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in network (layer 4 and below) troubleshooting with optics, fibers, switches and related network equipment. Preferred qualifications: Experience on physical machine fleet provisioning in data center-like environments. Experience with networking administration, maintenance, and database management. Experience with software development languages, particularly Python, Linux or other Unix operating systems such as Ubuntu, and RHEL, etc. Understanding of computer systems like server, storage, or GPU system architecture. Excellent written and verbal communication skills, with the ability to coordinate and manage the needs of multiple lab users. About the jobIn this role, you will be responsible for the design, development and delivery of Google’s compute and storage machines to satisfy Google data center internal use and external cloud customers. The work scope is to ensure the continuous operation of the system lab, including the networking, and infrastructure such as power/cooling.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 Support various hardware bring up and qualification testing activities by operating various Google proprietary systems and setting up proper network environments.  Design and define the network topology, provide assistance to establish proper power and cooling infrastructure for medium and low-touch labs with remote control functionality.  Develop infrastructure required for managing the fleet of test systems at scale to improve automation and test execution efficiency. Develop quality data collection, analysis and visualization systems in support of system verification. Support hardware, software and hardware qualification engineers on project planning and ensure adequate resources (networking capability, space, power) are met as required. Interact with various stakeholders to provide assistance to resolve complex lab related issues. 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.

UNME 是一個具備商業思維的跨域整合設計策略團隊。專注於透過設計輔助企業營運、提升競爭優勢，提供從品牌規劃、空間場域設計到設計策略顧問的整合服務。 我們正在尋找具備工務執行力與設計思維的夥伴，參與工程規劃、現場監工與材質工法測試。此職位適合喜歡材料實驗、工法探索，並樂於投入高比例實作與解決實務問題的人才。 UNME 正處於高速成長階段，我們重視善良、自律與同理心，期待每位夥伴都能擁有自我驅動、為成果負責的能力，願意傾聽與調整自我，並能在理解世界複雜性後，仍選擇做出正直的決定。 如果你也認同我們正在做的事，期待你的加入，成為推動公司持續前進的關鍵人才，與團隊攜手前行。

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 welcomes people with disabilities.Minimum qualifications: Bachelor's degree in electrical, mechanical, industrial engineering, a related field, or equivalent practical experience. 8 years of experience in manufacturing or a related field. Preferred qualifications: Master's degree in electrical, mechanical, or industrial engineering. Experience driving process stability and factory yields while influencing supplier leadership on technical roadmaps and engineering trade-offs. Experience in high-complexity data center hardware including copper interconnects (e.g., connectors, cable assemblies for high speed, and power applications). Experience architecting electro-mechanical and PCBA assembly lines, testing protocols, and transitioning products seamlessly from NPI to high-volume production. Experience in SPC, failure modes and effects analysis (FMEA), and root cause corrective actions (RCCA) to identify and mitigate production risks. Excellent SQL, scripting, or data visualization skills to translate factory-floor data into insights. 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. In this role, you will deliver interconnect technologies in a resilient supply chain to enable the scaling of Google’s data center infrastructure while mitigating risk and reducing total cost of ownership.As the Interconnect Supply Base Engineer (SBE), you will oversee the complete supplier lifecycle, transitioning products from new product introductions (NPI) to high-volume manufacturing. You will bridge the gap between design and industrial production, ensuring the process stability necessary to realize Google's system hardware.Acting as a technical link between vendors and Google’s cross-functional teams, you will optimize production methods, oversee supplier capacity, and strengthen supply chain resilience while mitigating risks.Responsibilities Build capacity models to validate supplier output against forecasts and proactively resolve issues in assembly/test processes to streamline production and ensure scalability. Identify single points of failure and qualifying second sources for critical sub-components. Conduct deep-dive analyses into critical subtier components to secure sufficient capacity and optimize for resiliency to prevent production line-down situations. Conduct on-site NPI and production audits to assess manufacturing maturity system controls. Analyze supplier process/yield data to optimize processes and partner with supplier quality engineers to drive root-cause analysis and corrective actions. Collaborate on sourcing strategies with key cross-functional stakeholders. 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 engineering field or equivalent practical experience. 8 years of experience in manufacturing operations. Preferred qualifications: Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field. 15 years of experience in Surface Mount Technology (SMT) and final assembly. Experience in Statistical Process Control (SPC), Process Capability (CP/CPK), and statistical analysis tools. Experience with CAD and Gerber tools, including Valor, AutoCAD, and Cadence Allegro. Knowledge of L6/L10 system integration, NPI development, and industry-standard inspection/testing procedures. Ability to lead cross-functional teams and CM/ODM partners in ambiguous environments. 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. 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 Lead new product transfer and line qualifications, ensuring seamless multi-sourcing capabilities. Participate in early-stage NPI and pre-production builds, driving factory readiness and providing critical Design for Excellence (DFx) and yield feedback. Oversee production through End of Life (EOL), managing assembly yields, cost-reduction initiatives, and automation solutions for released products. Execute data-driven strategies to reduce cycle times and costs while optimizing capacity, quality, and manufacturing efficiency. Monitor assembly processes to identify issues, initiating root cause investigations and corrective actions with Contract Manufacturer (CM)/Original Design Manufacturer (ODM) partners. 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 Electrical Engineering, Computer Engineering, Mechatronics or equivalent engineering experience. 8 years of experience in product manufacturing, sustaining or development. Experience working with contract manufacturing Preferred qualifications: Master's degree in Electrical Engineering, Computer Engineering, Mechatronics or equivalent engineering experience. 10 years of experience in manufacturing or equivalent. Experience developing and integrating manufacturing hardware using custom electronics, fixturing, and instrumentation. 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 team behind Google's groundbreaking innovations, empowering the development of our 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 Build, optimize and deploy platforms for Google data center hardware (server, storage, switch, rack or accelerator) at the global manufacturing partners. Partner with the NPI team to define Design for Manufacturing (DFM) requirements and provide input to the manufacturing strategy. Lead NPI early engagement with NPI team and transition to sustaining. Provide caliber manufacturing engineering support for new and existing products. Lead product qualification to improve bill of material multi-source and support capacity expansion. Analyze, troubleshoot and root cause of manufacturing yield issues and data center field escapes. Drive issues to closure with corrective and preventive measures. Collaborate with Google engineers and manufacturing partner engineers to drive improvement for product manufacturing efficiency and effectiveness including test coverage and reduce cost. Drive, support and manage product changes to improve product design or manufacturing performance. 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, Product Design, a related field, or equivalent practical experience. 5 years of experience in design, analysis/development of thermal solutions (e.g., servers, storage, and switches). 5 years of experience in the thermal field. Preferred qualifications: 5 years of experience with CFD (e.g., FloTherm, Icepak, or equivalent), thermal analysis techniques, pipe flow (pressure drop) calculations, and structural modeling techniques. Experience with cold plates, manifolds, QDs, piping, heat pipes, vapor chambers, heatsinks, thermal interface materials, fans, and heat exchangers About the jobAs a thermal engineer, you design and build the systems at the heart of the world's largest and most powerful computing infrastructure, identifying product requirements and contributing to research and project planning. From the chip to the chiller, you are responsible for designing and optimizing an architecture that scales with Google's continued growth. With your technical expertise, you lead and manage follow-up work for Technical Work Network (TWN) team projects, develop product and process improvements, provide consultation to others, and help facilitate training and development.Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. Our Mechanical Product Design Engineering Team members work cross-functionally to design, build, and deploy the latest technology to support the needs of compute, storage, networking, and machine learning hardware.Responsibilities Architect and influence product design by providing thermal engineering insight into the technology roadmap, identify and scope innovation opportunities and technology risks, contribute to overall system architecture, and optimize Total Cost of Ownership (TCO). Design and specify thermal management hardware, including material selection, heat sinks, heat exchangers, air movers, pumps, and all supporting equipment, and work with internal manufacturing teams and external fabrication vendors during the product development cycle. Contribute to overall system architecture from “chip to chiller” with the ability to make interdisciplinary tradeoffs to optimize TCO of overall compute infrastructure. Develop appropriate specifications and test procedures as necessary to ensure desired reliability and performance of electronic equipment; collaborate with, supervise, mentor, and motivate suppliers to design and develop excellent products; and mentor engineers in all aspects of concept development, analysis, design, and specification. 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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zhubei, Zhubei City, Hsinchu County, Taiwan; Taipei, Taiwan.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 2 years of experience in semiconductor failure analysis or a related process engineering role. Experience with standard failure analysis lab equipment (e.g., Curve Tracer, Focused Ion Beam (FIB), Scanning Electron Microscope (SEM)). Preferred qualifications: Experience with Chip-on-Wafer-on-Substrate (CoWoS) packaging, interconnect analysis or stress diagnostics. Experience with advanced diagnostics tools (e.g., Utilize scan diagnosis, Automatic Test Pattern Generation (ATPG)), and memory Built-In Self-Test (BIST) tools for fault isolation. Experience with CPU/TPU specializations, diagnosing architecture-specific symptoms including cache bit flips, scanning chain issues, and Serializer/Deserializer Input/Output (SerDes I/O) failures. Experience with stress diagnostics. Knowledge of semiconductor device physics, transistor operation (e.g., Fin Field-Effect Transistor/Gate-All-Around Field-Effect Transistor (FinFET/GAA)), and fabrication processes. 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. In this role, you will help to build the System-on-a-chip (SoCs) that power these facilities by driving quality and reliability processes in High Volume Manufacturing (HVM) from an Integrated Circuit perspective. You will partner with cross-functional teams to develop HVM quality and reliability specifications while collaborating with global hardware teams, silicon design, validation, and engineering groups to ensure fleet excellence.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 Perform end-to-end electrical and physical failure analysis on Central Processing Unit/Tensor Processing Unit (CPU/TPU) devices from prototype stages through manufacturing. Utilize advanced hardware and software techniques, such as Emission Microscope (EMMI) and Optical Beam Induced Resistance Change (OBIRCH), to localize defects within reasoning and memory blocks. Execute destructive techniques including delayering, cross-sectioning, and high-resolution imaging (e.g., Scanning Electron Microscope (SEM), Transmission Electron Microscope (TEM), Focused Ion Beam (FIB)) to visualize and identify physical defects. Partner with design, product, and foundry teams to interpret failure data and implement actions for design or process improvements. Generate Failure Analysis (FA) reports and develop novel workflows tailored for advanced technology nodes and three-dimensional (3D) packaging architectures. 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.