AI Data Center Design Lead - White Space & HPC

Jacobs

Fayetteville (AR)

On-site

USD 166,000 - 228,000

Full time

9 days ago

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Benefits offered by this job

Medical, dental, vision
401(k) plan with stock purchase
Unlimited PPTO with holidays
Caregiver leave

Job summary

Jacobs seeks a Senior Design Manager – AI Data Center White Space Design to provide technical leadership for planning, design, construction, commissioning, and deployment of large-scale, high-density data center environments. Initial base in South Carolina, with leadership across electrical, mechanical, IT, and operations.

You will guide API integration for AI networks, develop capacity models, and drive standardized, scalable solutions across hyperscale programs while coordinating with clients

Qualifications

  • 15+ years of engineering/design experience in mission-critical or data center facilities.
  • Demonstrated experience leading hyperscale, HPC, high-density, or AI-focused data center white space design.
  • Direct experience with high-density rack deployment and GPU/HPC compute environments.

Responsibilities

  • Serve as senior SME and technical authority for AI data center white space design.
  • Establish and govern basis of design, design criteria, reference architectures, and standards.
  • Translate GPU/HPC requirements into facility-level power, cooling, and rack configurations.

Skills

Hyperscale data center design
High-density rack deployment
GPU/HPC compute environments
Capacity modeling
Multidisciplinary leadership
Client communication

Education

Bachelor's degree in Engineering/Architecture/Construction Management

Tools

BIM
DCIM
BMS/EPMS
Digital twins

Job description

Jacobs seeks a Senior Design Manager – AI Data Center White Space Design to provide technical leadership for planning, design, construction, commissioning, and deployment of large-scale, high-density data center environments. Initial base in South Carolina, with leadership across electrical, mechanical, IT, and operations.

You will guide API integration for AI networks, develop capacity models, and drive standardized, scalable solutions across hyperscale programs while coordinating with clients

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