Cake Job Search

Minimum qualifications: Bachelor's degree in Computer Science, or equivalent practical experience. 5 years of customer-facing experience designing and deploying distributed data processing systems with one or more technologies. Experience with SQL data bases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL data bases (e.g., Mongo, Cassandra.). Experience with different types of data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transaction Processing (OLAP/OLTP) databases and modern data warehouses. Preferred qualifications: Certification in Cloud. 5 years of experience in managing technical client service. Experience reading software code in one or more languages such as Java, Python, NodeJS, Golang, JavaScript. Experience in devising migration approaches, and migrating on premise data processing systems to Cloud. Experience designing and deploying large-scale distributed data processing systems with one or more technologies: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Flink, Kafka, Druid, Hive, HBase, Vertica, Netezza, Teradata, Tableau, or MicroStrategy. Knowledge of building and operationalizing data pipelines. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will work with customers on critical projects to transform their business with data. You will provide consulting, solution design, and technical program management capabilities to customer engagements while directing customer executives and technical stakeholders on project related decisions. You will serve as a liaison between our customers and product teams to drive product excellence and adoption. In addition, you will also work with Google partners currently servicing accounts to manage programs, deliver consulting services, and provide technical guidance.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 Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement. Work with internal specialists, product and engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets. Interact with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Propose solution architectures and manage the deployment of cloud based databases, big data, and analytics solutions according to customer requirements and implement best practices. Travel up to 40% of the time for client engagements as needed. 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.

Minimum qualifications: Bachelor's degree in Industrial engineering, Mechanical, or Electrical Engineering, a related technical field, or equivalent practical experience. 8 years of experience working as a Manufacturing Engineer in an industrial environment, within the Data Center space or Automotive production. Preferred qualifications: Certification in Six Sigma Black Belt, Lean Manufacturing. Experience with supplier technical evaluations, qualifications, and managing supplier relationships, with engineering and design software for modeling, analysis, and documentation. Experience with industry standards, including design guidelines for data center infrastructure. Understanding of Data Center cooling, with knowledge of electromechanical, networking, and mechanical assembly processes, tooling and equipment. Ability to lead complex manufacturing projects and mentor junior engineers, and to conduct data analysis to identify trends, root causes of defects, and measure manufacturing performance. Ability to travel up to 30%, and to identify and resolve manufacturing and quality issues. About the jobIn this role, your core mission is to bridge the gap between innovation and execution, ensuring the seamless flow of the product life-cycle from concept to delivery. You will drive product excellence through early engagement, utilizing comprehensive Design for Excellence (DFx) feasibility reviews and vendor capability assessments to eliminate red flag features and guarantee factory readiness.You will ensure operational precision by delivering accurate CapEx and tooling estimates, conducting should-cost analysis, and performing rigorous capacity validation via run-at-rate studies. You will be dedicated to building a resilient supply chain through proactive risk mitigation and test strategies. Furthermore, you will advocate operational excellence by optimizing material flow and driving continuous improvement through Lean manufacturing principles and Six Sigma methodologies to maximize efficiency and quality.Responsibilities Lead DFx reviews and generate Design for Manufacturing (DFM) reports during the concept readiness phase to identify and resolve red-flag features before design freeze. Validate production readiness through Run-at-Rate Validation reports and line balancing charts to align Takt time with cycle time. Execute vendor assessments and factory readiness gap analyses. Enforce process quality by reviewing process capability reports (Process Capability Index (Cpk) 1.33), control plans, and Measurement Systems Analysis reports during the pilot phase. Advocate risk management by leading PFMEAs with RPN reduction goals. Conduct Pareto and Eight Disciplines (8D) root cause analyses to resolve manufacturing issues. Optimize factory logistics via process flow diagrams and material plans to streamline production line supply. Validate test strategies and fixture designs, ensuring formal approval and sign-off. Oversee Engineering Change Order (ECO) implementations to re-validate fixtures as required. 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.

Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience with technical management of software developers and system administrators/architects. Experience in building platforms that improve developer velocity, code quality and code health (e.g., compilers, automated releases, code design and testing, test automation frameworks). Experience with design and architecture of distributed systems, reliability fault tolerant systems, API design, and microservices architecture. Experience with software development in Python and C++. Experience with generative AI models. Preferred qualifications: Experience with enterprise-facing software, especially for providers in two-sided marketplaces. Experience with sign-up flows and other user-facing tools and flows. Experience with data modeling and serving APIs. Ability to work with course-correcting projects, challenging the status quo, and collaborating with cross-team, especially cross-timezone, to reach consensus quickly. Ability to presenting to and influencing executive technical leadership to drive complex decisions. 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.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. YouTube OTT brings traditional movies, shows, and sports to YouTube. We package and promote this content through products like YouTube TV and primetime channels. Our businesses represent over 10 million subscribers and $XXB ARR worldwide.OTT Media is responsible for onboarding media companies, acquiring their premium TV content and metadata, modeling it, understanding and enriching it, packaging it, and ultimately publishing it to serving systems.We’re expanding our team in Bengaluru to bring 100x scale to content and media companies on YouTube. This team will build tools for media companies to manage and paygate their content on YouTube.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Take ownership of storage infrastructure, workflow, and pipelines for managing and publishing content to YouTube core. Build and manage tools in YouTube Studio for media companies to manage their content and grow their businesses on YouTube. Define, measure, and move metrics around data quality. Establish appropriate carrots and sticks to influence media companies to provide high quality videos and metadata on YouTube. Manage integration with 3P metadata providers. 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.

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with statistical analysis, modeling and inference. Preferred qualifications: PhD in a quantitative field. 10 years of experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. 5 years of leadership experience, including people management. Experience with Machine Learning (ML) on large datasets, with the ability to select the right statistical tools in a given data analysis problem. Understanding of potential outcomes framework and with causal inference methods such as split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators, with knowledge of structural econometric methods. Ability to set and drive technical strategy. About the jobAs a Technical Lead on Google’s Advertising Measurement team, you will apply scientific aptitude, excellence, precision, accuracy, expertise, thoroughness and statistical expertise to navigate the complex challenges of a global, privacy-preserving advertising ecosystem. Google is a pioneer in sustaining an open internet through a mutually-reinforcing cycle of ad-planning, optimization, and measurement; in this strategic leadership role, you will be the recognized authority driving that cycle forward. You will develop, organize, and launch large-scale projects spanning engineering and analysis across Search, Display, YouTube, and beyond. By translating advanced science specifically causal inference and quantitative methodologies into deployed products, you will lead the charge in defining paradigm-shifting measurement standards for the future of digital advertising. Working cross-functionally with Engineers, Product Managers, and Sales, you will adjust global strategies based on your findings, ensuring advertising remains useful for users and results-driven for publishers. We are seeking quantitatively trained experts with a passion for business strategy and a deep appreciation for consumer behavior. In this role, you won’t just improve products; you will empower an exceptional team to shape the marketing-technology industry globally. If you thrive in fluid, science-driven environments and are ready to leverage data and technology to solve modern advertising’s greatest challenges, your leadership will be the catalyst for the next era of innovation.Responsibilities Apply causal inference and differential privacy methods to design experiments, assess attribution, and develop privacy-preserving marketing products. Execute end-to-end analyses including data gathering, EDA, and model development to deliver strategic insights to executives. Build iterative analysis pipelines and prototype data structures to provide scalable insights across Google’s complex data ecosystems. Collaborate with Product and Engineering team to define and answer quantitative questions regarding incrementality, user behavior, and bidding optimization. Provide technical guidance and prioritization for the team, conduct cost-benefit analyses to drive high-level business decisions and product strategy. 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.

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, Operations Research, or a related quantitative field. 2 years of experience in developing and deploying Machine Learning models or AI-driven applications. Experience with agent-based modeling, predictive modeling, or deep learning architectures. Experience with prompt engineering. Preferred qualifications: Experience in Python and standard data science libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch). Experience putting data science principles into practice, data quality assessment, statistical modeling, feature engineering, and data visualization. Experience with frameworks like LangChain or LlamaIndex, to build advanced, multi-step agents. Experience in using vector and graph databases to power Retrieval-Augmented Generation (RAG) in supply chain processes and systems. Experience working with cloud computing platforms (e.g., Cloud Computing Platform, Google Cloud Platform) and developing solutions that interact with large-scale data warehouses and databases (SQL, NoSQL). Familiarity with optimization techniques (linear programming, heuristic search) and simulation modeling. 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 Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 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 Design, build, and prototype AI agents focused on optimizing key supply chain functions for cloud compute infrastructure (e.g., forecasting, capacity planning, demand sensing, component procurement, logistics, and reverse logistics). Iterate on ideas, conducting rapid A/B testing and proof-of-concept experiments to validate the technical feasibility and business impact of agent-based solutions. Create comprehensive documentation, including technical specifications, model architecture, and model maintenance procedures to ensure a seamless and efficient transition of successful prototypes to production engineering teams. Run regression tests in production to validate model outcomes. Partner closely with Supply Chain Operations, Architects, Finance, and Engineering teams to define requirements, gather feedback, and ensure prototypes align with strategic business objectives and drive user adoption in production. 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.

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, Operations Research, a related quantitative field, or equivalent practical experience. 8 years of experience in global supply chain operations, planning, or logistics, within the enterprise hardware or cloud infrastructure space. 5 years of experience in leadership roles with/without direct reports. Experience with prompt engineering and classical ML solutions, predictive modeling, or deep learning solutions. Experience working with generative AI, integrating genAI solutions into business processes, and agent-based modeling. Preferred qualifications: 5 years of experience in developing and deploying machine learning models or AI-driven applications. Experience working in Java and Python. Experience with standard API design and system architectures. Familiarity with data science libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch). About the jobGoogle's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams. 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 Analyze and document business requirements for AI-driven solutions, ensuring an understanding of the problem space and desired outcomes. Design, build, and prototype AI agents focused on optimizing key supply chain functions for cloud compute infrastructure (e.g., forecasting, capacity planning, demand sensing, component procurement, logistics, and reverse logistics). Collaborate with data science and data engineering teams to identify, clean, and structure the necessary supply chain data for use in ML and agent models. Partner closely with supply chain operations, architects, finance, and engineering teams to define requirements, gather feedback, and ensure prototypes align with strategic business objectives and drive user adoption in production. Lead, mentor, and grow a technical program management team, fostering high performance and collaboration. Manage hiring, performance, career development, and resource allocation. 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.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). 1 year of experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models). Experience with text, image, video, or audio generation. Preferred qualifications: Master’s degree. 5 years of experience in software development or ML. 3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture or experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models), GenAI-related concepts (language modeling, computer vision), ML algorithms and tools (e.g. TensorFlow), or NLP. 2 years of experience with data structures and algorithms. Experience in Machine Learning, Machine Learning Infrastructure, AI Platform, Python, C++. 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 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 Lead the features from front-end, client, serving and modeling. Collaborate across multiple teams and functions within editors, to bring model capabilities to the AI features. 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.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of interaction design experience in product design or UX design. Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions). Preferred qualifications: Master's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience. Experience designing platforms, data management tools, information architecture, and enterprise software. Passion for TV and media experiences, streaming media, OTT platforms, and the creator ecosystem. About the jobAt Google, we "Focus on the user and all else will follow." Our Interaction Designers transform complex tasks into intuitive, easy-to-use experiences for billions of people. From creating user flows and wireframes to building mockups and prototypes, you will envision and bring product experiences to life with an inspired, refined, and magical feel. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, leveraging user insights to create industry-leading products.As an Interaction Designer, you'll apply user-centered design methods to craft industry-leading user experiences from concept to execution, working with design partners to evolve the Google design language to build beautiful, innovative products. YouTube Over-the-Top (OTT) brings premium movies, shows, and sports to YouTube. We package and promote this content through products like YouTube TV and PrimeTime Channels.Our team is responsible for onboarding media companies, acquiring their premium TV content and metadata, modeling, understanding, enriching, packaging, and ultimately publishing it to serving systems.We are looking for a UX designer to bridge systemic complexity and elegant user experiences. You will help design this self-serve ecosystem that empowers media companies to easily ingest, package, and manage their premium content. You will transform the technical workflows, like metadata modeling, content enrichment, and publishing pipelines, into intuitive and engaging interfaces. You will partner with engineering and product management to untangle these systems, ensuring the underlying technology translates into a frictionless, empowering journey for our partners.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Collaborate with product managers, engineers, and cross-functional stakeholders to understand requirements, and provide solutions. Communicate the user experience at various stages of the design process with wireframes, flow diagrams, storyboards, mockups, and high fidelity prototypes. Integrate user feedback and business requirements into ongoing product experience updates. Advocate for the prioritization of design centered changes, refinements, and improvements. 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.

Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience. 3 years of experience with interactions between hardware and software at the system level. Preferred qualifications: Master's degree or PhD in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience. Experience with liquid cooling technologies (e.g., DLC, sidecars) and their application in data center environments. Experience with server hardware from Dell (PowerEdge), HPE, and NVIDIA (HGX/NVL platforms). Experience with thermal modeling or Computational Fluid Dynamics (CFD) software to predict hotspot formation in high-density racks. Familiarity with high-power electrical standards and facility interfaces for liquid-cooled hardware. About the jobThe Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate. Google is bringing our cloud anywhere with Google Distributed Cloud—in your data center, at the edge, and in the cloud.Google Distributed Cloud (GDC) is a portfolio of fully managed Hardware (HW) and Software (SW) solutions which extends Google Cloud’s infrastructure to the edge and to customers’ data centers. It is enabled by Anthos and is ideal for local data processing, edge-computing for latency-sensitive workloads, and for meeting sovereignty, strict data security, and privacy requirements.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 Lead mechanical, thermal, and power design and validation for GDC rack infrastructure, accommodating next-generation advanced GPUs, including platforms such as NVIDIA Blackwell, Rubin, and future high-density AI accelerators. Analyze power consumption and thermal output of new components (e.g., servers, ToRs, switches, HSM, etc.) to determine impact on the existing rack designs, specifically addressing the shift to liquid-cooled requirements. Work closely with Original Equipment Manufacturer (OEMs), Product and Engineering teams to analyze their specific Hyperscale Graphics eXtension (HGX). Calculate rack power budgets and density limits, ensuring designs accommodate high-voltage requirements without exceeding infrastructure capacity. Model and validate airflow for mixed environments, including the integration of liquid-to-air sidecar heat exchangers. 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.

Minimum qualifications: PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience. Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools. Experience with accelerator architectures and data center workloads. Preferred qualifications: 2 years of experience in Silicon engineering post PhD. Experience with performance modeling tools. Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies. Knowledge of high-performance and low-power design techniques. About the jobIn this role, you will shape the future of AI/ML hardware acceleration as a Silicon Architect/Design Engineer and drive Tensor Processing Unit (TPU) technology that fuels Google's most demanding AI/ML applications. You will collaborate with hardware and software architects and designers to architect, model, analyze, define and design next-generation TPUs. You will have dynamic, multi-faceted responsibilities in areas such as product definition, design, and implementation, collaborating with the Engineering teams to drive the optimal balance between performance, power, features, schedule, and cost.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 Revolutionize Machine Learning (ML) workload characterization and benchmarking, and propose capabilities and optimizations for next-generation TPUs. Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap. Develop architectural and microarchitectural power/performance models, microarchitecture and RTL designs and evaluate quantitative and qualitative performance and power analysis. Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software codesign, creating high performance hardware/software interfaces. Develop and adopt advanced AI/ML capabilities, drive accelerated and efficient design verification strategies and implementations. Use AI techniques for faster and optimal physical design convergence-timing, floor planning, power grid and clock tree design, etc. Investigate, validate, and optimize DFT, post-silicon test, and debug strategies, contributing to the advancement of silicon bring-up and qualification processes. 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.