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.