VP, Compute & Network Engineering

Added
2 minutes ago
Type
Full time
Salary
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Related skills

machine learning hypervisor iaas large-scale distributed systems kvm/virtualization

πŸ“‹ Description

  • Define and execute next-gen compute roadmap for AI workloads.
  • Drive long-term architectural strategy for scalable IaaS.
  • Lead multi-layered engineering org for AI innovation and reliability.
  • Partner with Product and Marketing to translate capabilities to market.
  • Optimize hypervisor and hardware efficiency for pricing and scaling.
  • Champion organizational agility and growth mindset.
  • Establish deep partnerships with silicon and hardware vendors.

🎯 Requirements

  • Large-Scale Distributed Systems expertise.
  • KVM/Virtualization and GPU orchestration experience.
  • Proven ability to architect IaaS platforms for AI/ML workloads.
  • Exceptional cross-functional diplomacy and stakeholder alignment.
  • Growth mindset with a drive to learn and improve.

🎁 Benefits

  • Innovate with purpose and simplify cloud/AI for builders.
  • Strong focus on career development and learning.
  • Competitive well-being benefits and flexible time off.
  • Rewarding compensation and equity opportunities.
  • DigitalOcean is an equal-opportunity employer.
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