[Remote] AI Infrastructure Engineer - Emerging Technologies

Note: The job is a remote job and is open to candidates in USA. Cologix, Inc. is a leading North America network-neutral interconnection and hyperscale edge data center company. They are seeking an AI Infrastructure Engineer – Emerging Technologies to support the evaluation, design, and development of AI-ready data center infrastructure strategies, bridging emerging AI technologies with practical implementation across various functions.ResponsibilitiesSupport the VP of Technology Engineering & Innovation in evaluating emerging AI infrastructure technologies and future-ready data center strategiesAnalyze AI workload characteristics including: Training vs. inference workloads, GPU utilization patterns, Dynamic workload fluctuations, Rack-level power variability, Networking and latency requirementsAssess implications of AI workload behavior on infrastructure resiliency, scalability, efficiency, and operational designDevelop technical recommendations and infrastructure strategies supporting future AI deploymentsAnalyze current and future AI compute platforms including NVIDIA GPU architectures, ARM-based platforms, custom AI accelerators and ASICs, optical networking and switching technologies, and emerging hyperscaler-designed AI chipsEvaluate implications of evolving chip architectures on rack density, power consumption, cooling requirements, electrical distribution, mechanical infrastructure, space planning, and future development standardsModel current and future AI rack power density trends including existing high-density deployments (50–120 kW), near-term AI deployments (150–300+ kW), and future ultra-dense AI cluster scenariosAssess long-term impacts of emerging chip architectures on energy efficiency and future data center design and development standardsSupport conceptual and detailed design efforts for AI-ready data center infrastructureAssist in developing long-term infrastructure roadmaps for high-density AI deployments, liquid cooling adoption, modular infrastructure strategies, utility coordination, grid-parallel and microgrid solutions, and future AI campus developmentEvaluate implications of AI infrastructure evolution on greenfield developments, existing facility retrofits, construction methodologies, scalability, and future campus master planningCollaborate with engineering, development, and construction teams to develop scalable AI-ready infrastructure standards and deployment modelsCollaborate closely with the Energy Strategy Team to evaluate utility constraints, interconnection requirements, grid limitations, dynamic load fluctuation impacts, power quality and resiliency considerations, and onsite generation and distributed energy solutionsSupport analysis of grid-parallel and islanded microgrid architectures, fuel cells, Battery Energy Storage Systems (BESS), bridge power solutions, natural gas generation, and renewable integration opportunitiesEvaluate implications of AI workloads on substation development, transmission planning, utility coordination, and energy efficiency and PUE optimizationAssess how future AI compute growth will influence utility planning and power infrastructure strategiesAnalyze current and emerging thermal management solutions including air cooling, direct-to-chip liquid cooling, immersion cooling, rear-door heat exchangers, and hybrid cooling architecturesAssess implications of ultra-high-density AI deployments on mechanical system design, water usage, cooling scalability, heat rejection strategies, thermal resiliency, and future cooling infrastructure standardsEvaluate cooling technologies and infrastructure requirements as AI rack densities continue to increaseInterface directly with technology 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 technologiesLead technical assessments of next-generation technologies with respect to reliability, scalability, energy efficiency, sustainability, AI workload performance, construction complexity, and operational resiliencySupport proof-of-concept initiatives, pilot deployments, and technology benchmarking effortsDevelop executive-level recommendations regarding adoption of emerging AI infrastructure technologies and strategic engineering standardsCollaborate with design engineering, construction, operations, energy strategy, procurement, utilities, technology partners, and external engineering firms and consultantsSupport strategic planning initiatives and executive-level technical presentationsAssist in developing future infrastructure standards and innovation roadmaps for AI-enabled data center platformsSkillsBachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Data Center Engineering, or a related technical discipline5+ years of experience in one or more of the following: data center infrastructure, AI/HPC infrastructure, power systems engineering, cooling technologies, or advanced infrastructure engineeringStrong understanding of emerging AI compute technologies and infrastructure implicationsAbility to analyze complex technical systems and translate findings into actionable engineering and infrastructure strategiesMaster's degree and/or PhD in Engineering, Computer Science, Data Science, Energy Systems, or a related technical fieldExperience with hyperscale or colocation data center environmentsKnowledge of GPU infrastructure and AI workload behaviorFamiliarity with utility coordination and energy systemsUnderstanding of high-density cooling technologiesExperience supporting large-scale infrastructure development projectsPE license or equivalent advanced technical credentialsCompany OverviewCologix is reinventing the edge—supporting your digital infrastructure journey with robust interconnection at our digital edge and hyperscale edge data centers. It was founded in 2010, and is headquartered in Denver, Colorado, USA, with a workforce of 201-500 employees. Its website is http://www.cologix.com.