Lead, AI Cloud & Hyperscale Networking Architecture

Crusoe; United States; On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Paid time off

Health, dental & vision insurance

401(k) with company match

Commuter benefits

Tuition reimbursement

Job summary

Crusoe is building a world-scale AI-first cloud infrastructure. We seek a Senior Manager of Network & Cloud Architecture to lead multiple domains—Edge, Backbone, Data Center, and SDN/Cloud—and align hardware, software, and product leadership toward a unified, low-latency fabric optimized for massive GPU clusters.

The role combines deep technical ownership with people leadership, guiding architecture across multi-region deployments and setting long-range roadmaps for AI workloads.

Qualifications

• 12+ years in network engineering/architecture.
• 5+ years managing ICs.
• Proven track record leading network architecture at hyperscale or AI cloud providers.
• Experience setting multi-year technical strategy and influencing stakeholders.

Responsibilities

• Own the company-wide architecture strategy across edge, backbone, DC fabrics and SDN overlays.
• Arbitrate cross-domain tradeoffs and drive production-ready architecture decisions.
• Set engineering standards, reference architectures, and design-review processes.

Skills

Network architecture

Team leadership

Strategic planning

Cross-domain collaboration

Cloud networking

Education

Bachelor's degree in CS/CE or related field

Tools

SONiC OS

P4 programmable data planes

Minesweeper

Batfish

Kubernetes networking

Job description

Crusoe is building a world-scale AI-first cloud infrastructure. We seek a Senior Manager of Network & Cloud Architecture to lead multiple domains—Edge, Backbone, Data Center, and SDN/Cloud—and align hardware, software, and product leadership toward a unified, low-latency fabric optimized for massive GPU clusters.

The role combines deep technical ownership with people leadership, guiding architecture across multi-region deployments and setting long-range roadmaps for AI workloads.