Power-Aware GPU Cluster Architect for HPC

Vultr; United States; On-site; USD 165,000 - 185,000; Full time

Benefits offered by this job

Excellent Medical Benefits

401(k) matching

Professional Development Reimbursement

Paid Time Off

Remote office setup reimbursement

Internet reimbursement

Gym membership reimbursement

Job summary

A leading cloud infrastructure provider is seeking an AI Cluster Architect responsible for creating efficient GPU cluster architectures. The role requires deep expertise in GPU designs and power-aware configurations. Candidates should have over 7 years of experience in designing large-scale clusters, strong knowledge of networking technologies, and the ability to balance compute and storage requirements. Competitive compensation between $165,000 - $185,000 is offered, reflecting the role's complexity and demands.

Qualifications

• 7+ years of experience designing or building GPU clusters.
• Expert understanding of GPU system design and node topology.
• Experience modeling power draw and thermal characteristics.

Responsibilities

• Architect large-scale GPU clusters within fixed site power budgets.
• Model and validate power consumption across cluster components.
• Evaluate tradeoffs across multiple fabric networking architectures.

Skills

Designing large-scale HPC, AI, or hyperscale GPU clusters

Understanding of GPU and accelerator system design

Familiarity with InfiniBand and RoCE networking

Modeling power draw and thermal characteristics

Documentation and communication skills

Job description

A leading cloud infrastructure provider is seeking an AI Cluster Architect responsible for creating efficient GPU cluster architectures. The role requires deep expertise in GPU designs and power-aware configurations. Candidates should have over 7 years of experience in designing large-scale clusters, strong knowledge of networking technologies, and the ability to balance compute and storage requirements. Competitive compensation between $165,000 - $185,000 is offered, reflecting the role's complexity and demands.