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Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering or Computer Science, or equivalent practical experience. 5 years of experience developing with Python, Java or C++. Experience with backend technologies and backend frameworks. Experience with code version control and release management. Experience with programming and database integration. Preferred qualifications: 2 years of experience as a software project or team lead. Experience in data Extract, Transform, and Load processes (ETL) for data collection and analysis. Knowledge of Google’s Cloud Platform including use of BigQuery, Spanner, CloudSQL and Compute Engine. Ability to analyse and trace system issue and provide solutions. 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. In this role, you will be responsible for gathering requirements and implementing the systems and processes required for Google’s manufacturing test and quality teams. You will support the development of Google’s standard test executive platform, data collection systems, and product specific software development around shop floor system integration, product specific provisioning and configuration systems, and partner integration. You will rovide mission-critical tooling to facilitate the test and manufacture of hardware within Google's Data Centers. Our core solutions support the test execution via OpenTest, data ingestion through RADIX into BigQuery and Spanner, and intelligent sampling through Adaptive Test deployment. Since the larger group supports New Products, we will frequently work on custom software projects required by our partner test teams.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 Develop manufacturing test executive software and test automation frameworks. Develop software and infrastructure required for managing a fleet of test systems to avoid manual configuration of test systems. Develop adaptive test and smart sampling solutions to drive manufacturing test optimization and efficiency. Develop next generation Test and Quality data collection systems on Google Cloud Platform. 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 Science, or equivalent practical experience. 10 years of experience in hardware or test engineering, with 8 years of experience managing engineering teams. Experience defining test strategies, authoring test plans, and leading cross-functional teams through engineering programs. Experience in manufacturing environments, including developing and integrating test solutions using custom electronics, fixturing, and instrumentation. Preferred qualifications: Experience in the design, validation, and manufacturing test of server and networking infrastructure, or Cloud infrastructure products.Knowledge of NPI test station bring-up and validation methodologies, including Gage Repeatability and Reproducibility (R and R), correlation studies, and statistical process control.Understanding of the Linux operating systems, with experience in software development or scripting (e.g., Python, Shell) for test automation.Ability to translate product specifications into comprehensive test strategies and plans, ensuring execution and adherence to quality standards.Ability to lead root cause analysis for complex manufacturing issues, collaborating effectively across engineering teams to drive solutions. 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.Through your leadership, you leverage your technical expertise to design and analyze products and related data, develop and improve manufacturing and supportive processes, and provide consultation to vendors, manufacturers, and internal teams. You lead complex projects to completion by managing resources and activities along the way. 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, manage, and mentor a high-performing team of Test Engineers dedicated to Google Cloud infrastructure, fostering a culture of technical excellence, innovation, and continuous improvement. Oversee the development and deployment of robust test solutions for products, working in close collaboration with Google's global manufacturing partners.  Define comprehensive test requirements and leverage DFT expertise to ensure optimal testability and manufacturability of hardware. Advocate the integration of AI/ML tools and technologies to revolutionize test efficiency, expand coverage, and enhance bug detection capabilities. Drive operational strategies to optimize test processes, increasing coverage and reducing costs while collaborating effectively with cross-functional teams. Communicate effectively with leadership and stakeholders, providing timely updates on test status, risk assessments, and product quality. Attract, develop, and retain engineering talent, building a resilient team capability for the future. 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 or equivalent practical experience. 2 years of experience in program or project management. 2 years of experience with manufacturing, supply chain management, or fulfillment planning. Preferred qualifications: Bachelor's degree in Engineering (Electrical, Mechanical, Industrial), Supply Chain Management, Business, or equivalent practical experience. 5 years of experience in commodity management, strategic sourcing, or supply chain management. Ability to lead projects with cross-functional teams and driving consensus. Excellent data analysis, critical thinking, and problem-solving skills. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. 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 Perform commodities and analytics sub-tier assessment and mapping out the product constraints which may limit the scale up of the materials and identify opportunities for continuous improvement. Use tools with AI to assess and analyze the supply chain dependencies which could limit production and present to management on the overall health of the components. Support and maintain projects that could ensure high quality of data accuracy in forecast and Product Lifecycle Managements (PLMs). Maintain a high level of industry expertise, thorough market analysis and continuously monitoring market trends, new technologies, supply conditions, and engaged landscapes. 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.

Job Summary: We are seeking a Senior Supply Chain Manager to own and be accountable for end-to-end supply chain operations, including strategic sourcing, supplier management, tooling execution, and cost optimization. This role serves as the single point of ownership for supply continuity, cost control, and on-time support for NPI and mass production in a global manufacturing environment. The ideal candidate is a hands-on supply chain leader with strong commercial, cross-functional, and risk management capabilities, able to operate independently in fast-paced environments and scale supply chain operations as the business grows.Responsibilities:Own and lead end-to-end supply chain activities, covering strategic sourcing, supplier selection, commercial negotiation, tooling management, purchase execution, and long-term supplier relationship management.Own supply chain risk identification and mitigation, including supplier capacity constraints, long lead-time components, and single-source dependencies.Develop and execute sourcing strategies for components and assemblies, balancing cost, quality, capacity, lead time, and supply chain risk management across global suppliers.Act as the primary supply chain owner for product BOMs, with ownership of sourcing decisions and accountability for material availability to support NPI, production ramp, and ongoing operations.Ability to quickly break down and analyze cost structures across BOM, manufacturing, tooling, and logistics.Drive cost optimization initiatives through should-cost analysis, BOM reviews, VA/VE, and continuous improvement with suppliers.Monitor inventory health, forecast alignment, and material exposure, addressing shortages, excess, and obsolescence risks.Collaborate cross-functionally with engineering, manufacturing, quality, logistics, and finance teams to support product development, cost-down programs, and operational scaling.Provide guidance and mentorship to supply chain team members, ensuring execution discipline and best practices.

職務說明 What you will do1. 於培訓後須熟習本行智能投資相關產品、平台與運作機制; 具備直接面對前線銷售角色以及提供智能投資平台客戶諮詢服務。2. 關注投資市場變化對於客戶智能投資部位的影響，準備相關因應說明以利即時答覆相關詢問。3. 注重使用者體驗，能主動挖掘數位服務上待優化的痛點，協助持續提升智能投資與數位通路投資服務體驗。4. 規劃線上與線下推廣舉措並加以落實; 協助數位理財業務之相關經營與推廣。5. 蒐集比較同/異業市場競品與服務相關資訊; 從中發掘本行優勢並促進未來的迭代與優化。