Customer Engineer, AI Infrastructure Modernization TPU, Google Cloud

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 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.

• Become a trusted advisor to top customers, helping them understand and incorporate AI accelerators into their overall cloud and IT strategy
• Design and implement complex, multi-host AI training and inferencing solutions on Google Cloud TPUs, focusing on scalability and performance tuning
• Conduct performance profiling and optimization of customer models and data pipelines for the TPU architecture, identifying and resolving bottlenecks
• Advise customers on best practices for integrating their MLOps workflows with the Google Cloud AI Platform ecosystem for TPU utilization

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience
• 10 years of experience with cloud native architectures and modern cloud infrastructure with networking - switching/routing for ethernet/RoCE/infiniband, in customer-facing or support roles
• Experience developing and deploying models using deep learning frameworks (TensorFlow, PyTorch, or JAX)
• Preferred qualifications: Master's degree in Computer Science, Mathematics, 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, GPUs and TPUs
• Experience in leveraging main AI and software stacks and platforms to bring up and deploy AI compute clusters
• Knowledge of the AI infrastructure market, including main technology providers, differentiators, and trends

• Ability to work and grow in fluid environments
• Experience with AI Infrastructure systems, networking technologies, and accelerators
• Knowledge of the AI infrastructure market, including main technology providers, differentiators, and trends

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.