AI Infrastructure Engineer - Emerging Technologies

1 month, 3 weeks ago
Full-time
Senior
DevOps and Infrastructure
Cologix

Cologix

Cologix, Inc. provides network neutral interconnection and colocation services, integrating hyperscale edge capacity with robust interconnection to empower digital transformation for carrier, media, financial services, and enterprise customers.

Diversified Telecommunication Services
251-1K
Founded 2010
$500M raised

Description

  • Support the Office of the VP of Technology Engineering & Innovation in evaluating and developing future AI infrastructure strategies.
  • Analyze AI workload characteristics and their impact on resiliency, scalability, efficiency, and operational design.
  • Evaluate current and future AI compute platforms, including GPU architectures, ARM-based platforms, custom accelerators, ASICs, and optical networking technologies.
  • Model AI rack power density trends and assess implications for electrical, mechanical, space planning, and development standards.
  • Support conceptual and detailed design efforts for AI-ready data center infrastructure.
  • Develop long-term infrastructure roadmaps for high-density deployments, liquid cooling adoption, modular infrastructure, and AI campus development.
  • Collaborate with engineering, development, construction, operations, energy strategy, procurement, utilities, and external consultants on AI infrastructure initiatives.
  • Assess utility constraints, interconnection requirements, grid limitations, power quality, resiliency, and distributed energy solutions.
  • Analyze current and emerging cooling technologies, including air cooling, direct-to-chip liquid cooling, immersion cooling, and hybrid architectures.
  • Interface with vendors, OEMs, utilities, and partners to lead technical assessments, proof-of-concepts, benchmarking, and executive recommendations.

Requirements

  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Data Center Engineering, or a related technical discipline.
  • 5+ years of experience in data center infrastructure, AI/HPC infrastructure, power systems engineering, cooling technologies, or advanced infrastructure engineering.
  • Strong understanding of emerging AI compute technologies and their infrastructure implications.
  • Ability to analyze complex technical systems and translate findings into actionable engineering and infrastructure strategies.
  • Master's degree and/or PhD in Engineering, Computer Science, Data Science, Energy Systems, or a related technical field preferred.
  • Experience with hyperscale or colocation data center environments preferred.
  • Knowledge of GPU infrastructure and AI workload behavior preferred.
  • Familiarity with utility coordination and energy systems preferred.
  • Understanding of high-density cooling technologies preferred.
  • PE license or equivalent advanced technical credentials preferred.
  • Authorization to work for any employer in the U.S. is required; the company cannot sponsor or transfer work visa sponsorship, including CPT/OPT.

Benefits

  • Remote work is available for this position.
  • Opportunity to work on emerging AI infrastructure strategy at scale across North America.
  • Exposure to executive-level technical planning and innovation roadmaps.
  • Work within a certified organization committed to information security and environmental stewardship.
  • Equal opportunity employment protections and accommodations support are provided.

Interested in this position?

Apply directly on the company website

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