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Google Customer Engineer Infrastructure Modernization AI France, Ile-de-France 550729660
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architectures and modern cloud infrastructure (e.g., hardware shapes, sizes, auto-scaling, auto-provisioning, etc.).
- 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 engaging with, and presenting to, technical stakeholders and executive leaders.
- Experience in 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 on leveraging main AI hardware and software stacks and platforms to bring up and deploy large-scale AI compute clusters.
- Knowledge of the AI infrastructure market, including main technology providers, differentiators, and trends.
- Ability to grow rapidly in an environment, supported by a demonstrated entrepreneurial drive.
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