The Customer Engineer IV, AI Infrastructure role at Google Public Sector focuses on accelerating AI initiatives for government and educational institutions. This position involves building trusted advisory relationships with customer teams and guiding them through solution design and implementation. The engineer will work closely with sales, product, engineering, and research teams to deliver technical solutions that provide business value. This hybrid role combines technical expertise with business acumen to influence customer outcomes and drive the adoption of Google Cloud products.

• Bachelor's degree in Computer Science, Mathematics, or a related technical field.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with frameworks for deep learning such as PyTorch, TensorFlow, JAX, and AI accelerators like TPUs and GPUs.
• Must possess an Active Top Secret/SCI US Government Security Clearance with polygraph.
• Ability to travel up to 20% of the time as required.

• Accelerate customer time-to-value on AI Infrastructure and High Performance Computing workloads.
• Build a trusted advisory relationship with customer architects and engineering leadership.
• Identify customer priorities and design strategies focused on Google AI Infrastructure.
• Provide domain expertise around hardware accelerators and prevailing ML frameworks.
• Manage the holistic research engineering relationship with customers by collaborating with various teams.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.