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Google Customer Engineer Infrastructure Modernization AI 
Germany, Bavaria, Munich 
223766055

Today
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud native architectures and modern cloud infrastructure (hardware shapes, sizes, auto-scaling, auto-provisioning, etc.).
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.
  • 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 with 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 or knowledge on leveraging main AI hardware and software stacks and platforms to bring up and deploy large-scale AI compute clusters.
  • Good competitive knowledge of the AI infrastructure market, including main technology providers, differentiators and trends.
  • Demonstrated entrepreneurial background with an ambitious mentality and ability to thrive in dynamic environments.