Cake Job Search

運用 GCP（Google Cloud Platform）進行的全方位開發工作 雲端環境的設計（繪製架構圖） 雲端環境的建置（開發、測試、本番環境） 雲端環境的維護、運用支援與監控作業 雲端服務新功能的驗證與測試 雲端使用費用的估算與成本最佳化的規劃 系統壓力測試與營運測試的執行 技術文件的撰寫與更新 各類日誌的檢查、彙整、分析與預防性維護規劃

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 3 years of experience in software engineering, in a large-scale cloud environment with knowledge in building and operating Compute Infrastructure. Experience with building system skills, including low-level system software, Operating Systems (OS), firmware, low-level networking, or hardware. Experience with debugging, troubleshooting and diagnosing issues in distributed systems. Experience testing, maintaining, and launching software products or infrastructure. Experience with compute technologies. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. We are building the AI infrastructure for the future, In this role, you will support building a brand new product in a fluid environment.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 Contribute to the direction of the Hybrid and On-premises (On-prem) Infrastructure business by assisting in defining and delivering architecture and road-map initiatives. Work with peer engineers and managers within Google teams and external partners to influence product and team road-map. Support the team in maintaining and enhancing product, engineering, operational, and support excellence. Work with cross-functional teams to ensure the timely delivery of new product initiatives. Partner with internal cross-functional organizations and external vendors and partners to contribute to customer advocacy by understanding user needs and helping to deliver solutions that meet customer needs. 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 cutting edge 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 robust 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 Degree in Mechanical, Industrial, Process, Manufacturing Engineering, or a related field, or equivalent practical experience. 5 years of experience in the manufacturing process and product development for thermal or mechanical parts. Experience with manufacturing tools (e.g., Lean, Six Sigma, etc), Design for Excellence (DFX) and production line development. Experience with metals processing like Machining, Brazing, Soldering, Skiving, Zipper Fin stamping, etc. Preferred qualifications: Master's Degree in Industrial, Mechanical, Manufacturing Engineering or a related discipline. Experience with thermal/mechanical manufacturing processes including tooling/fixture and production line development. Experience with manufacturing processes for thermal (air/liquid cooling) and mechanical parts for networking and server products. Experience delivering manufacturing solutions, resolving issues, leading yield improvements and cycle time reductions for parts and assemblies and experience with thermal designs and simulations. Ability to influence the product design process by proposing improvements with data. Excellent communication skills, along with ability to collaborate with multi-geo teams on projects spanning multiple technologies. 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 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 Thermal Manufacturing Engineer in Google Technical Operations, you will join the team responsible for providing manufacturing support and guidance for Google’s next generation thermal solutions. You are a Manufacturing expert and help in the launch of new thermal products in Contract Manufacturer (CM) and Original Design Manufacturer (ODM) environments. You will have an understanding of the tools, processes and techniques used to manufacture both system and data center level thermal products. You are a valued partner to the product development team via your industry knowledge, and are experienced with conceptualization, implementation, and qualification of advanced manufacturing techniques for thermal devices. Design for Excellence (DFX) opportunities are identified by you, as you support delivery of leading thermal products and fulfillment chains.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 Oversee the developing manufacturing strategy, performing Design for Excellence (DFX) and driving implementation of manufacturing solutions for thermal assemblies. Drive concurrent engineering through communicating design, process, tooling, and material changes to manufacturing partners and design engineering peers. Research, develop and qualify advanced thermal manufacturing solutions to ready the supply chain for future product requirements. Drive improvement initiatives to enhance manufacturing processes and product designs. Identify process, tooling, and automation opportunities to support manufacturing with quality, reduced cost, and performance repeatability. Provide support for manufacturing and field quality issues, owning resolution of manufacturing/supplier issues and driving design issues cross-functionally. 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; Zhubei, Zhubei City, Hsinchu County, Taiwan.Minimum qualifications: Bachelor's degree in Materials, Mechanical, Electrical Engineering, a related field, or equivalent practical experience. 5 years of experience in working with 3D packaging. 5 years of experience in working with foundries and OSATs for package development. Preferred qualifications: Experience in semiconductor package manufacturing, with yield optimization and new product introduction. Experience in developing new technologies. Experience with general package assembly process, packaging materials, and reliability requirements. Experience in managing assembly houses or wafer foundries. Knowledge of 2.5D and 3D packaging technologies, and advanced technologies for High Performance Computing (HPC) applications. Knowledge of multidisciplinary interactions between packaging technology, chip package electrical design, thermal and mechanical performance, and manufacturability/reliability. About the jobBe part of a diverse 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 work on package development of chip package technologies. You will be directing all technical aspects of package design, assembly process, package materials and reliability tests. You will perform early feasibility studies using test vehicles, creation of specifications and provide guidance for thermal, mechanical, electrical and package substrate design. You will be leading package design reviews, solving all technical issues associated with package reliability, process, thermal, and electrical issues. You will also work with multi-functional cross teams from different organizations and various vendors to incorporate their inputs into package development and successfully roll out for production.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 Develop and qualify substrate solutions for Google Tensor Processing Units (TPUs). Identify and mitigate packaging risks. Drive advanced packaging solutions from concept to production including manufacturing, electrical, thermal, and mechanical requirements. Establish package development engineering plans and conduct experiments using mechanical/thermal test vehicles to plan package materials. Generate assembly process and reliability test plans. Drive collaboration with multi-functional internal teams, Outsourced Assembly and Tests (OSATs) and material suppliers to deliver chip package solutions for production. Drive foundry technologies to package interactions. Define and implement Design for Excellence (Design for Manufacturability (DFM), Design for Reliability (DFR), Design for Testing (DFT)) methodologies for advanced packages. 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 Product or Yield Engineering. 2 years of experience with interpreting ATE data logs (V93K, UltraFLEX), physical failure analysis and yield improvement. Preferred qualifications: Master’s in Electrical Engineering, Computer Engineering, Computer Science, or a related field. 8 years of experience in product engineering, including test engineering. Experience evaluating customer returns with ATE and SLT, identifying coverage gaps, developing incremental structural and functional patterns to address quality issues. Experience in Python or Perl for data automation, statistical analysis (e.g., JMP), and yield management systems. Experience in leadership delivering screening solutions for the computing chips in advanced technology nodes with low DPPM. Knowledge of industry standards, design tools, and DFT best practices, including at-speed TDF, ATPG, MBIST, Memory Repair, diagnostic tools, yield improvement. 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. As a SoC Product Engineer, you will design and build the systems that form the foundation of the world's largest and most powerful computing infrastructure. You will develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing and mission-mode operation. You will work to shape the machinery that goes into our data centers affecting Google users.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 Develop and implement strategies for high volume manufacturing of SoC products, including troubleshooting, ATE test coverage optimization, Defective Parts Per Million (DPPM) reduction, power and performance assurance, and product data integration and correlation between system, ATE, and SLT. Drive interactions with wafer Fabrications (fabs) and Outsourced Semiconductor Assembly and Test (OSATs), own and drive checkpoints for the quality metrics. Drive production through test program releases, volume data analytics, lot disposition, extended test time reduction, yield improvement, and Return Materials Authorization (RMA) management. Own setup and maintenance of test, diagnosis, and yield analysis infrastructure, including RMA support. Collaborate with cross functional teams across the globe including ATE and SLT Test Engineering, Packaging, Supplier Management and Operations to build, deploy, and maintain a high volume manufacturing screening solution. 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. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 1 year of experience with data structures or algorithms. 1 year of experience building and developing large-scale infrastructure or distributed systems. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field.Experience in Machine Learning (ML) infrastructure coding languages (e.g., C++)Experience in back-end infrastructure coding languages such as C++, GoLang.Experience in developing accessible technologies. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. 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 Write code in C/C++ and build the distributed systems and services. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 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. 10 years of experience with cloud-native architecture in a customer-facing or support role, with application development and integration. Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like RAG, Text-to-SQL, and semantic search. Experience with search systems including retrieval, ranking, and search quality tuning. Experience with presenting to technical stakeholders and executive leaders. Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers. Preferred qualifications: Experience developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK). Experience with iPaaS, API Gateways, or Enterprise Service Buses (ESBs) in a cloud environment. Understanding of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and API Gateways. Knowledge of Application Integration Governance and Security, including OAuth2 flows and short-lived credential management. Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications. Experience with functional evaluation metrics used to assess Model Quality and Agent Quality. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will partner with technical business teams to differentiate Google Cloud to the customers. You will serve as the technical authority on integrating Generative Artificial Intelligence (AI) into enterprise environments, moving beyond simple chat interfaces to architecting secure and data-connected solutions. You will engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will blend market knowledge and hands-on technical engagement to prove the value of the Google Cloud AI portfolio.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Drive the technical win for workloads within Gemini Enterprise to ensure adoption, support the business cycle from technical evaluation through customer ramp. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud. Combine business strategies with direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts. Provide technical consultation to customers on enterprise AI integration patterns, act as a technical advisor and build customer relationships. Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. Work within Product and Engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues. Travel to customer sites, conferences, and other related events as required, and act as a public advocate for Google Cloud. 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 with software development or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields.2 year of experience with software development in one or more programming languages (e.g., C, C++, Python).Experience in back-end infrastructure coding languages such as C++, GoLang.Experience in developing accessible technologies. About the jobGoogle's software engineers develop the next-generation technologies that change how users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our changing business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.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 Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 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. 1 year of experience with software development in one or more programming languages (e.g., C, C++） 1 year of experience building and developing large-scale infrastructure or distributed systems. Preferred qualifications: Master's degree in Computer Science or related technical fields. 1 year of experience with data structures and algorithms. 1 year of experience with software development including internships. Experience in backend coding languages such as C/C++, GOLang. Experience testing, maintaining, and launching software products/infrastructure. Passion for building deep system skills and low level system, OS, firmware, low level networking understanding or hardware, etc. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google is looking to build the next generation of on-prem AI infrastructure to bring the best of Google to empower frontier model and AI solution builders to advance AI around the world. We are looking for engineers/Tech Lead/Managers (TLMs) with exposure to fully integrated AI infrastructure systems (e.g., GPU or TPU), from HardWare (HW) to SoftWare (SW) design and workload management, to developing large-scale training and inference workloads, and optimizing performance.As a Software Engineer, you will build large AI clusters using the latest technologies for AI acceleration and cluster interconnects and networking. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Responsibilities Contribute to development, tools and infrastructure for the hybrid and on-prem AI infrastructure business. Work with peer engineers within Google teams to deliver well scoped projects, with good quality and documentation. Support the team in maintaining and enhancing product, engineering, operational, and support excellence to ensure reliable and high-performance operations. Work closely with cross-functional teams to ensure the timely delivery of new product features. Learn about Google's oncall best practices and participate in an oncall support rotation. 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.