VP, Compute & Network Engineering

Added
2 minutes ago
Type
Full time
Salary
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Related skills

machine learning virtualization kvm iaas large-scale distributed systems

πŸ“‹ Description

  • Define and execute the next-generation compute roadmap for AI workloads.
  • Drive long-term architectural strategy to keep IaaS scalable and resilient.
  • Lead a multi-layered engineering organization to balance AI speed with reliability.
  • Partner with Product and Marketing to translate tech into market positioning.
  • Optimize global hypervisor and hardware efficiency to maintain pricing.

🎯 Requirements

  • Large-Scale Distributed Systems experience.
  • KVM/Virtualization and GPU orchestration experience.
  • Architecting IaaS platforms for AI/ML workloads.
  • Exceptional cross-functional diplomacy.
  • Growth mindset with bias for action.

🎁 Benefits

  • Career development resources and training opportunities.
  • LinkedIn Learning access for ongoing growth.
  • Well-being benefits and flexible time off policies.
  • Equity compensation and Employee Stock Purchase Program.
  • Remote-friendly benefits; vary by local regulations.
  • DigitalOcean is an equal-opportunity employer.
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