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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.

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.

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.

集團簡介 MaiCoin 集團為台灣交易量最大，且唯一具備區塊鏈技術公司之數位資產領導品牌，成立於 2013 年，是台灣虛擬通貨產業之先鋒，致力透過區塊鏈底層技術與虛擬通貨應用等，推動數位資產主流化，提供大眾安全與多元的選擇，目前主要提供數位資產交易、數位資產延伸產品服務與企業區塊鏈技術應用解決方案之服務，服務業務包含 MaiCoin 數位資產買賣平台、MAX 數位資產交易所、AMIS 帳聯網路區塊鏈技術、Qubic NFT 技術整合服務與 MaiCapital 對沖基金公司(香港)等。 公司文化 MaiCoin Culture(https://github.com/MaiAmis/Careers/blob/master/MaiCoin/maicoin-culture.md)是我們的工程文化，期待與我們有相同信念的人才，能夠一同加入我們的行列，共同創造台灣的競爭力。 團隊簡介與公司地點請參閱:https://github.com/MaiAmis/Careers/blob/master/MaiCoin/README.md 職位說明 我們正在尋找一位具備高技術能力的交易系統工程師，負責設計與開發低延遲（low-latency）交易系統與資料基礎架構，應用於加密貨幣市場。 此職位橫跨交易策略、分散式系統與資料工程領域，重點在於系統效能、可擴展性（scalability）與穩定性（reliability）。您將參與從策略研究、回測系統，到實際交易系統的完整生命週期開發。 工作內容（Responsibilities） 設計、開發與維護交易策略（包含回測、模擬與實盤部署）建構與優化交易基礎架構（如撮合執行、行情資料處理、風控模組）設計與實作回測資料管線（data pipeline）與資料倉儲架構串接外部交易所（REST / WebSocket API），並確保即時交易的穩定性與可靠性優化系統效能，以支援高吞吐（high throughput）與低延遲（low latency）交易環境與量化研究員與交易策略開發者合作，將 alpha 訊號落地為可運行的交易系統確保回測與實盤交易環境的一致性（simulation fidelity） 基本條件（Basic Qualifications） 至少 3 年以上軟體開發相關工作經驗熟悉 Golang（優先），或具備 Java / C++ 等系統語言實務經驗具備後端系統設計能力，熟悉分散式系統與高可用架構熟悉關聯式資料庫（如 MySQL、PostgreSQL）與查詢效能優化具備資料工程經驗，能處理大規模歷史資料與回測資料集具備高效能系統開發經驗（high throughput / low latency）具備基本交易知識（如市場微結構、訂單簿、撮合邏輯）或加密貨幣交易經驗具備電腦科學、電機資訊（CS / EECS）或相關領域學士學位 加分條件（Preferred Qualifications） 具備股票、衍生性金融商品或加密貨幣市場經驗熟悉訊息佇列系統（如 Kafka、RabbitMQ）熟悉 Python / R 等資料分析工具（如 NumPy、Pandas）具備前端開發經驗（如 React）具備 Alpha Research 或量化策略開發經驗曾開發回測系統（backtesting engine）或交易模擬框架熟悉即時行情系統（market data streaming）或 WebSocket 架構 我們重視的能力 對系統具備高度 ownership，能獨立交付 production-ready 系統對效能優化與系統穩定性具備高度敏感度能在低延遲（latency-sensitive）環境下進行工程設計與取捨具備務實（pragmatic）的工程思維，能平衡開發速度與系統正確性 薪資與福利 保證底薪 NTD 1,000,000 ~ 2,000,000 特別優異者專案處理績效獎金專案獎金認股權 福利與環境 Macbook + 27" 大螢幕隨時補充滿滿的零食與飲料不定期辦公室聚餐與教育訓練開放式管理風格與舒適工作環境便利交通位置，捷運站出口直達 出勤與休假 彈性上班時間，可申請在家工作員工一入職除法定特休，每年享有30日不扣薪事病假女性員工每年還有3日不扣薪生理假 津貼補助 年度健康促進補助 NTD 30,000結婚補助 NTD 12,000生育補助 NTD 20,000 - NTD 50,000喪葬補助 NTD 30,000團隊團建活動每季每人補助 NTD 1,000員工推薦獎金員工三節禮券員工團體保險個人進修補助 人資或徵才聯絡方式 請將履歷夾帶於附件，寄信至 [email protected]，標題註明應徵 Trading Software Engineer， 我們將會與您聯絡。謝謝 更多資訊 集團簡介：MaiCoin" rel="noopener noreferrer">https://www.maicoin.com/zh-TW/aboutMaiCoin" rel="noopener noreferrer">MaiCoin 數位資產買賣平台：MAX" rel="noopener noreferrer">https://www.maicoin.com/MAX" rel="noopener noreferrer">MAX 數位資產交易所：https://max.maicoin.com/

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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Mechanical Engineering, Industrial Engineering, Materials Engineering, a related engineering discipline, or equivalent practical experience. 8 years of experience in quality, manufacturing, product engineering of server infrastructure, storage, or networking hardware. Experience in statistical product quality control (e.g., SPC), reliability modeling, and the execution of failure analysis and DFX principles during the hardware development lifecycle. Experience leading New Product Introduction (NPI) cycles. Preferred qualifications: Experience leading cross-functional engineering teams using a practical and solution-oriented approach. Experience with manufacturing and field issues debug, root cause analysis, and corrective actions. Experience with scripting languages and SQL. Experience with advanced statistical or statistics-based methodologies (e.g., design of experiments, statistical process controls, Six Sigma, etc.). Ability to present technical data to executive audiences. About the jobGoogle has one of the largest and most powerful computing infrastructures in the world. Your 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 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 Define and own the end-to-end quality and reliability strategy for Google's hardware across its entire lifecycle, from design through field support. Lead the resolution of systemic quality issues in manufacturing and the field, driving Root Cause and Corrective Actions (RCCA) using structured methodologies. Collaborate with engineering teams to influence design specifications, qualification plans, and test coverage to ensure product mitigates early risks. Establish and monitor key quality KPIs. Analyze manufacturing and field data to develop predictive models and drive continuous improvement in design and processes. Act as the primary point for customer quality, managing escalations and integrating feedback. Oversee quality and corrective actions with suppliers, including Return Merchandise Authorization (RMA) analysis and Process Change Notification (PCN) qualification. 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.