Senior GPU Capacity & Optimization Architect

Epoch Biodesign; United States; On-site; USD 160,000 - 195,000; Full time

Benefits offered by this job

Competitive compensation

Paid time off

Comprehensive health insurance

401(k) Retirement plan with matching

Professional development reimbursement

Daily meals allowance

Job summary

Crusoe, a leader in AI infrastructure, seeks a Senior GPU Capacity and Optimization Planner to manage GPU resource allocations and optimize performance in their data centers. This role requires collaboration across sales, engineering, and operations, ensuring high availability and maximizing resource utilization.

The ideal candidate will have at least 3 years of experience in capacity planning, strong technical skills in GPU topologies, and a background in hyperscaler environments, such as AWS or GCP. Competitive compensation includes robust benefits and equity options.

Qualifications

• 3+ years of experience in Infrastructure Capacity Planning or Systems Engineering.
• Experience in a hyperscaler cloud environment.
• Foundational understanding of GPU topologies.

Responsibilities

• Manage GPU fleet allocation and optimization.
• Work with sales to align capacity with customer demands.
• Collaborate with teams to ensure uptime of workloads.

Skills

Infrastructure Capacity Planning

Technical Product Management

Machine-level resource scaling

Communication with business stakeholders

NVIDIA H100/B200 GPU knowledge

Education

Bachelor's or Master's degree in Computer Engineering, Computer Science

Tools

AWS

GCP

Azure

Oracle Cloud

Job description

Crusoe, a leader in AI infrastructure, seeks a Senior GPU Capacity and Optimization Planner to manage GPU resource allocations and optimize performance in their data centers. This role requires collaboration across sales, engineering, and operations, ensuring high availability and maximizing resource utilization.

The ideal candidate will have at least 3 years of experience in capacity planning, strong technical skills in GPU topologies, and a background in hyperscaler environments, such as AWS or GCP. Competitive compensation includes robust benefits and equity options.