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Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 6 years of experience in project management and technical solution delivery. 4 years of experience in one or more of the following areas: data center infrastructure, networking, DevOps, security, compute, storage, Kubernetes, SRE, or AI/ML infrastructure (e.g., AI/ML frameworks like JAX, PyTorch, or OpenXLA). Experience writing Python code in a production environment. Preferred qualifications: Master’s degree in Computer Science, Technology, Business, Engineering or equivalent practical experience. Experience in one or more of the following specialized domains: advanced networking and storage such as system design of load balancers, firewalls, VPN, and production-grade storage. Experience with customer-facing migration, including service discovery, assessment, planning, execution, and operations. Experience developing, refactoring, and optimizing AI/ML models. 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.As an Integration Engineer, you will work directly with Google’s most strategic customers on infrastructure projects that transform their business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices.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, and become a trusted advisor to decision makers throughout the engagement. Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to complex customer requirements and implementation best practices. Work with internal specialists, product, and engineering teams to package approaches, best practices, and implement lessons learned into thought leadership, methodologies, and published assets. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes. Travel 50% of the time to customer sites and facilities.  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 will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 8 years of experience in solution engineering or architecture. 7 years of experience in project management and technical solution delivery, with experience writing code in one or more programming languages (e.g., Python, Java). 5 years of experience in stakeholder management, professional services, or technical consulting. Experience in Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, SRE, or AI/ML Infrastructure (e.g., AI/ML frameworks like JAX, PyTorch, or OpenXLA). Ability to travel up to 50% of the time. Preferred qualifications: Master’s degree in Computer Science, Technology, Business, Engineering or equivalent practical experience. Experience in one or more of the following specialized domains: advanced networking and storage: (e.g., system design of load balancers, firewalls, VPN, and production-grade storage). Experience in accelerated computing: (e.g., Kubernetes, GKE, EKS, and GPU workloads), and with customer-facing migration, including service discovery, assessment, planning, execution, and operations. Ability to understand, debug, and contribute to existing, complex software systems. Excellent communication, writing, presentation, and problem-solving skills. 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. As a Senior Cloud Integration Engineer, you will work directly with Google’s most strategic customers on infrastructure projects that transform their business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices.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, become a trusted advisor to decision makers throughout the engagement. Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to complex customer requirements and implementation best practices. Work with internal specialists, product, and engineering teams to package approaches, best practices, and implement lessons learned into thought leadership, methodologies, and published assets. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes. 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. 10 years of experience in developing and deploying models using deep learning frameworks (e.g., TensorFlow, PyTorch, or JAX) specifically on TPU hardware. Experience in networking principles, including concepts like collective communication, inter-chip interconnects, and their impact on distributed AI training. Preferred qualifications: Experience with lower-level performance tools and techniques (e.g., custom kernel development, XLA compiler familiarity) relevant to optimizing code for Google's TPU chips. Experience with leveraging AI hardware and software stacks and platforms to bring up and deploy AI compute clusters. Knowledge of AI accelerator hardware (e.g., specific GPU generations) to effectively articulate the architectural differentiation and value proposition of cloud TPUs. Knowledge of the AI infrastructure market, including main technology providers, differentiators, and trends. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Customer Engineer, you will understand the needs of our customers and help shape the future using AI technology. You will work with Google Cloud Platform's (GCP) technology and complete AI stack, and position the same to our customers in all verticals.In this role, you will support Google Cloud Sales teams to deploy AI/ML accelerators (e.g., TPU/GPU) at AI innovators, large enterprises, and early-stage AI startups. You will help customers innovate faster with solutions using Google Cloud’s flexible and open AI infrastructure.You will work with Google customers on AI Infrastructure server and networking deployments. You'll guide customer discussions on network topologies and compute/storage, and support bring-up of the server, network, cluster, or cooling deployments as it will include visits to the customer data center during the bring up phase.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 and implement complex, multi-host AI training and inferencing solutions on Google Cloud TPUs, focusing on scalability and performance tuning. Conduct in-depth performance profiling and optimization of customer models and data pipelines specifically for the TPU architecture, identifying and resolving bottlenecks. Advise customers on best practices for integrating their ML operations workflows with the Google Cloud AI platform ecosystem for seamless TPU utilization. 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.