Cologix; Inc.

Cologix; Inc.

AI Infrastructure Engineer - Emerging Technologies

Ashburn, VA

No sponsorship$50k-$120kDetected 36 days ago
Data ScienceComplianceProcurementThermal AnalysisSystems EngineeringMechanical DesignElectrical EngineeringPower ElectronicsLeadershipCollaborationPE License

About the role

  • This role serves as a bridge between emerging AI technologies and practical implementation across data center development, engineering, construction, operations, and energy infrastructure planning.
  • This role is ideal for someone who is highly analytical, technically curious, and capable of bridging emerging AI compute trends with real-world infrastructure strategy and execution.
  • This individual should be comfortable operating across engineering, operations, construction, energy strategy, and innovation functions while helping shape the future direction of AI-enabled data center development.

Responsibilities

  • Optical networking and switching implications on infrastructure design
  • Actively participating in Cologix's efforts to maintain and improve information security and environmental performance.

Nice to have

  • 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 one or more of the following: data center infrastructure, AI/HPC infrastructure, power systems engineering, cooling technologies, or advanced infrastructure engineering.
  • Strong understanding of emerging AI compute technologies and 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.
  • Experience with hyperscale or colocation data center environments.
  • Knowledge of GPU infrastructure and AI workload behavior.
  • Familiarity with utility coordination and energy systems.

Skills

  • Training vs. inference workloads
  • GPU utilization patterns
  • Dynamic workload fluctuations
  • Rack-level power variability
  • Networking and latency requirements

Compensation

  • $50k-$120k

Company info

  • Headquartered in Denver, Colorado, Cologix is a leading North America network-neutral interconnection and hyperscale edge data center company.
  • We provide our nearly 2,000 customers with direct access to our local operations teams, resulting in strong partnerships enabled by exceptional operational support and unparalleled customer service.
  • Backed by one of the largest North American infrastructure funds, Cologix's experienced leadership team, certified staff and commitment to ESG initiatives help form a culture that values our people, our environment and our clients.
  • Our platform gives customers access to 45+ digital edge and Scalelogix℠ hyperscale edge data centers in 13 markets across the United States and Canada along with a carrier-dense ecosystem of 710+ networks, 360+ cloud providers, 35+ onramps and seven Internet exchanges.
  • About the Position:
  • The AI Infrastructure Engineer - Emerging Technologies will support the Office of the VP of Technology Engineering & Innovation in evaluating, designing, and developing next-generation AI-ready data center infrastructure strategies.
  • The position will focus on assessing how rapidly evolving AI compute architectures, high-density rack deployments, advanced cooling systems, and emerging power technologies will impact future data center design standards, development strategies, construction methodologies, and operational models.
  • The ideal candidate combines expertise in AI infrastructure, power systems, cooling technologies, and emerging compute platforms with the ability to translate industry trends into actionable engineering and infrastructure strategies for future AI-enabled data center environments.
  • This role will help evaluate and guide the following areas:
  • Future AI rack density and power consumption trends
  • Impacts of next-generation GPU and AI chip architectures
  • AI workload impacts on utility infrastructure and power quality
  • Evolution of liquid cooling and high-density thermal management
  • Grid-parallel and microgrid strategies for AI campuses
  • Future AI-ready development and construction standards
  • Long-term AI infrastructure innovation roadmaps
  • Vendor technology evaluation and infrastructure modernization strategies
  • What you do daily:
  • AI Infrastructure Strategy & Analysis
  • Support the VP of Technology Engineering & Innovation in evaluating emerging AI infrastructure technologies and future-ready data center strategies.
  • Analyze AI workload characteristics including:

Visa & Work Authorization

  • Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or transfer sponsorship of an employment visa at this time, including CPT/OPT.***
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This listing is sourced directly from Cologix; Inc.'s careers page and normalized into a canonical job model.