As a Customer Engineer for AI Infrastructure in the Google Public Sector, you will partner with technical sales teams to provide solutions that address customer needs. Your role will involve engaging with customers to understand their business challenges and architecting cloud solutions that leverage Google Cloud technologies. You will serve as a trusted advisor, utilizing your expertise in machine learning and cloud architecture to drive technical wins. This position requires strong communication skills and the ability to influence stakeholders effectively.

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience with machine learning (ML) model development and deployment.
• Active US Government Top Secret/Sensitive Compartmentalized Information (TS/SCI) security clearance with polygraph.
• Ability to travel up to 20% of the time.

• 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.
• Make recommendations on GPU/TPU hardware and model building techniques.
• Manage the holistic research engineering relationship with customers.

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