AI Infrastructure Engineer - Emerging Tech

Salary: $130,000 - 170,000 per year Requirements:

• Bachelors degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Data Center Engineering, or a closely related technical field.
• At least 5 years of experience in data center infrastructure, AI/HPC infrastructure, power systems engineering, cooling technologies, or advanced infrastructure engineering.
• Strong grasp of emerging AI compute technologies and their infrastructure impacts.
• Ability to evaluate complex technical systems and convert findings into practical engineering and infrastructure strategies.
• Preferred: Masters degree and/or PhD in Engineering, Computer Science, Data Science, Energy Systems, or a related discipline.
• Preferred: Experience in 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: Experience supporting large-scale infrastructure development initiatives.
• Preferred: PE license or equivalent advanced technical credential.
• Must be authorized to work for any employer in the U.S.; we are unable to sponsor or transfer visa sponsorship at this time, including CPT/OPT.

• Support the VP of Technology Engineering & Innovation in assessing emerging AI infrastructure technologies and future-ready data center strategies.
• Examine AI workload patterns such as training versus inference, GPU utilization, dynamic demand changes, rack-level power variation, and networking or latency needs.
• Evaluate how AI workload behavior affects infrastructure resilience, scalability, efficiency, and operating design.
• Develop technical guidance and infrastructure strategies that support future AI deployments.
• Analyze current and next-generation AI compute platforms, including NVIDIA GPUs, ARM-based platforms, custom AI accelerators and ASICs, optical networking and switching, and hyperscaler-designed AI chips.
• Assess how evolving chip architectures influence rack density, power consumption, cooling, electrical distribution, mechanical systems, space planning, and development standards.
• Model present and future AI rack power density trends, including existing high-density deployments, near-term AI loads, and future ultra-dense cluster scenarios.
• Evaluate the long-term effect of emerging chip architectures on energy efficiency and data center design standards.
• Support conceptual and detailed design work for AI-ready data center infrastructure.
• Help develop long-term roadmaps for high-density AI deployments, liquid cooling adoption, modular infrastructure, utility coordination, grid-parallel and microgrid solutions, and future AI campus development.
• Review how AI infrastructure evolution affects greenfield builds, facility retrofits, construction methods, scalability, and campus master planning.
• Work with engineering, development, and construction teams to create scalable AI-ready infrastructure standards and deployment models.
• Partner with the Energy Strategy team to assess utility constraints, interconnection requirements, grid limitations, load fluctuations, power quality, resiliency, and onsite generation or distributed energy options.
• Support analysis of grid-parallel and islanded microgrid designs, fuel cells, BESS, bridge power, natural gas generation, and renewable integration opportunities.
• Evaluate how AI workloads influence substation development, transmission planning, utility coordination, energy efficiency, and PUE optimization.
• Assess how future AI compute growth will shape utility planning and power infrastructure strategy.
• Analyze thermal management solutions such as air cooling, direct-to-chip liquid cooling, immersion cooling, rear-door heat exchangers, and hybrid cooling architectures.
• Evaluate the implications of ultra-high-density AI deployments for mechanical design, water use, cooling scalability, heat rejection, thermal resilience, and future cooling standards.
• Review cooling technologies and infrastructure needs as AI rack densities rise.
• Engage with vendors, OEMs, utilities, and strategic partners across power generation, UPS systems, electrical infrastructure, cooling technologies, liquid cooling platforms, AI compute infrastructure, and networking and optical interconnect technologies.
• Lead technical evaluations of next-generation technologies for reliability, scalability, energy efficiency, sustainability, AI performance, construction complexity, and operational resilience.
• Support proof-of-concept work, pilot deployments, and technology benchmarking efforts.
• Prepare executive-level recommendations on adopting emerging AI infrastructure technologies and strategic engineering standards.
• Collaborate with design engineering, construction, operations, energy strategy, procurement, utilities, technology partners, and external engineering firms and consultants.
• Support strategic planning efforts and executive technical presentations.
• Help develop future infrastructure standards and innovation roadmaps for AI-enabled data center platforms.
• Perform other related duties as assigned to support the organizations ongoing needs.

• AI
• ARM
• Cloud
• Support
• Liquid
• Network
• Security
• DevOps

More:

We are Cologix, a leading North America network-neutral interconnection and hyperscale edge data center company headquartered in Denver, Colorado. Our platform provides access to more than 45 digital edge and Scalelogix hyperscale edge data centers across 13 markets in the United States and Canada, supported by a dense ecosystem of 710+ networks, 360+ cloud providers, 35+ onramps, and seven Internet exchanges. We serve nearly 2,000 customers through strong local operations teams and a commitment to exceptional service, operational support, and collaborative partnerships. Backed by one of the largest North American infrastructure funds, we foster a culture centered on our people, our environment, and our clients. Our facilities are ISO 27001:2022 and ISO 14001:2015 certified, reflecting our focus on information security and environmental stewardship.

last updated 33 week of 2026