Related skills
machine learning virtualization kvm iaas large-scale distributed systemsπ 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.
π― 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.
π 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.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest β finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!