HPC Capacity Architect & Data Center Planning Lead

Autonomai Recruitment; Chicago (IL); On-site; USD 150,000 - 180,000; Full time

Job summary

Autonomai Recruitment’s client, a leading quantitative trading firm in Chicago, seeks an Infrastructure Planning Lead to own a broad portfolio of HPC and data center projects from planning to handover. You will coordinate with engineers and vendors to deliver complex infrastructure at scale.

This role blends technical delivery with strategic planning, emphasizing capacity planning, high-density compute, and the use of AI to optimize workflows and deployment of compute, storage, and networking

Qualifications

• Experience planning large-scale compute capacity from planning through handover.
• Strong understanding of HPC storage, networking and data-center infrastructure.
• Ability to manage vendors, schedules and cross-functional teams.

Responsibilities

• Owning and prioritising a portfolio of HPC and data center infrastructure projects
• Planning new compute, storage and network deployments
• Driving capacity planning across rack space, power, cooling and structured cabling
• Managing vendors, contractors and implementation schedules
• Supporting new colocation and data center expansion projects
• Providing clear reporting on project status, risks and resource requirements
• Working closely with engineering teams to resolve technical and operational blockers
• Using AI and automation to improve planning, reporting and operational workflows

Skills

HPC infrastructure planning

Data center operations

Vendor management

AI automation in planning

Tools

Slurm

Lustre

GPFS

InfiniBand

Ethernet

Linux

Job description

Autonomai Recruitment’s client, a leading quantitative trading firm in Chicago, seeks an Infrastructure Planning Lead to own a broad portfolio of HPC and data center projects from planning to handover. You will coordinate with engineers and vendors to deliver complex infrastructure at scale.

This role blends technical delivery with strategic planning, emphasizing capacity planning, high-density compute, and the use of AI to optimize workflows and deployment of compute, storage, and networking