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cloud ai architecture iaas large-scale distributed systemsπ Description
- Define and execute next-gen compute roadmap for AI workloads.
- Drive long-term architectural strategy for scalable IaaS for AI workloads.
- Lead a multi-layered engineering org for rapid AI innovation and reliability.
- Partner with Product and Marketing to translate capabilities into market position.
- Optimize global hypervisor and hardware efficiency to maintain pricing.
- Champion organizational agility and growth mindset across teams.
π― Requirements
- Large-Scale Distributed Systems expertise.
- KVM/Virtualization and GPU orchestration experience.
- Architecture of IaaS platforms for AI/ML workloads.
- Exceptional cross-functional diplomacy.
- Growth mindset and bias for action.
π Benefits
- Career development resources and conference reimbursements.
- LinkedIn Learning access for ongoing growth.
- Comprehensive wellbeing benefits and flexible time off.
- Equity grants and Employee Stock Purchase Program.
- Remote-friendly global team and inclusive culture.
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