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About the role
As a Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues.
What they're looking for
- 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
More about this role
- Accelerate customer time-to-value on the largest AI Infrastructure and High Performance Computing (HPC) workloads in Google Public Sector.
- Build a trusted advisory relationship with customer architects, engineering leadership, and research teams. Identify customer priorities, technical objections and design strategies focused on Google AI Infrastructure and HPC ecosystem to deliver business value and resolve blockers.
- Provide domain expertise around hardware accelerators (GPU/TPU), prevailing ML Frameworks (PyTorch, Keras, JAX), and model building techniques.
- Make recommendations on Graphics Processing Unit/Tensor Processing Unit (GPU/TPU) hardware, framework selection, benchmarks, and model building required to successfully implement a complete solution.
- Manage the holistic research engineering relationship with customers by collaborating with specialists, product management, technical teams, and more.
- 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...
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