Customer Engineer, Infrastructure Modernization, AI

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architectures and modern cloud infrastructure (e.g., hardware shapes, sizes, auto-scaling, auto-provisioning, etc.).
• Experience with high performance infrastructure technology, on-premise infrastructure engineering, virtualization, or containerization platforms and orchestrators such as Slurm, Kubernetes, for building and operationalizing AI Models training and inference.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience in networking, switching/routing for ethernet/RoCE/infiniband, in customer-facing or support roles.

Preferred Qualifications:

• Master's degree in Computer Science, Mathematics, or a related technical field.
• Experience as an IT infrastructure consultant or enterprise architect working in data center investment strategies and proposals.
• Experience with AI Infrastructure systems, networking technologies (e.g., DPU, RoCE, InfiniBand), cooling, and accelerators, especially GPUs and TPUs.
• Experience on leveraging main AI hardware and software stacks and platforms to bring up and deploy large-scale AI compute clusters.
• Knowledge of the AI infrastructure market, including main technology providers, differentiators, and trends.
• Ability to grow rapidly in an environment, supported by a demonstrated entrepreneurial drive.

About The Job

When 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 listen and 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 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 using AI technology. You will work with Google Cloud Platform (GCP's) technology and complete AI stack and position the same to our customers in all verticals.

As a Customer Engineer, you will support Google Cloud sales teams to incubate, pilot, and deploy Google Cloud’s industry leading AI/ML accelerators Tensor Processing Units/Graphical Processing Units (TPU/GPU) at AI innovators, large enterprises, and early stage AI startups. You will help customers innovate faster solutions using Google Cloud’s flexible and open AI infrastructure.

You will be working with Google customers on AI Infrastructure server and networking infrastructure deployments. In addition, you'll guide customer discussions on network topologies, compute/storage and support to bring up of server/network/cluster/cooling deployments. You will need to visit 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 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

• Understand and incorporate AI accelerators into overall cloud and IT strategy by designing large-scale training and inferencing platforms, using the latest and greatest accelerators Google Cloud has to offer.
• Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on POCs, demonstrating features, optimizing model performance, profiling, and benchmarking.
• Work with customers to demonstrate and prototype Google Cloud technology integrations in customer/partner environments, including customer/partner data centers. Help the Account team to close agreements from a technical perspective.
• Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements, seamlessly collaborating with the AI Infra Dedicated Engineering team.
• Travel to customer sites, conferences, datacenters, and other related events as needed.