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Internship Data Center Infrastructure Engineer Jobs in Ohio

Meta

Data Center Capacity Engineer

Bowling Green, OH

$111K/yr

In this role, you will analyze server and infrastructure capacity trends, model future demand, and ... The Data Center Capacity Engineer is responsible for planning and delivering the end-to-end server ...

SB Energy

Project Engineer - Data Center

Piketon, OH · On-site

$70K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Join us at SB Energy, a leading infrastructure company backed by SoftBank Group and Ares ... As our Data Center Project Engineer, you will support the teams that build some of the most ...

StudySmarter

$92.88 - $127.71/hr

Maintain status changes in Mission Critical infrastructure to support corrective and preventive ... Ensure that data center equipment supporting mission‑critical servers maintain better than 99.999 ...

E2 Optics

Data Center Infrastructure Technician

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Join E2 Optics as a Data Center Infrastructure Technician! Are you ready to elevate your career with an award-winning, Woman-Owned technology integrator that's leading the charge in the data center ...

E2 Optics

Data Center Infrastructure Technician

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Join E2 Optics as a Data Center Infrastructure Technician! Are you ready to elevate your career with an award-winning, Woman-Owned technology integrator that's leading the charge in the data center ...

Introl

Data Center Technician

Springfield, OH · On-site

$30 - $36/hr

  • Medical

  • Dental

  • Vision

  • Retirement

About Introl Introl stands apart as a leader in GPU infrastructure deployments, specializing in ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

Introl

Data Center Technician

Columbus, OH · On-site

$30 - $36/hr

  • Medical

  • Dental

  • Vision

  • Retirement

About Introl Introl stands apart as a leader in GPU infrastructure deployments, specializing in ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

Peak Systems

Be Seen First

Data Center Technician

Springfield, OH · On-site

$30 - $40/hr

... infrastructure to support our clients' critical operations. We are seeking skilled Data Center ... Work closely with data center engineers, facilities teams, and vendors to support operational goals.

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All JobsData Center Infrastructure Engineer JobsInternship Data Center Infrastructure Engineer JobsInternship Data Center Infrastructure Engineer Jobs in Ohio

Internship Data Center Infrastructure Engineer information

What types of projects and responsibilities can an internship data center infrastructure engineer expect to work on during their internship?

As an Internship Data Center Infrastructure Engineer, you can expect to participate in a variety of hands-on projects, such as assisting with the installation and maintenance of server hardware, monitoring network performance, and supporting the implementation of cooling and power systems. You'll often work closely with senior engineers and IT teams to troubleshoot issues and optimize data center operations. Interns may also be involved in documenting configurations, conducting inventory audits, and learning about industry best practices for uptime and reliability. This role provides valuable exposure to both the technical and operational aspects of large-scale IT environments, offering a strong foundation for future career growth.

What are the key skills and qualifications needed to thrive as an internship data center infrastructure engineer, and why are they important?

To thrive as an Internship Data Center Infrastructure Engineer, you need a solid understanding of networking fundamentals, hardware systems, and power/cooling concepts, typically supported by coursework in computer engineering or related fields. Familiarity with tools like network monitoring software, server management systems, and ticketing platforms is often required. Strong problem-solving, attention to detail, and effective teamwork help you stand out in this collaborative, technical environment. These skills and qualities are crucial for maintaining reliable data center operations and ensuring rapid issue resolution.

What is the difference between Internship Data Center Infrastructure Engineer vs Data Center Technician?

AspectInternship Data Center Infrastructure EngineerData Center Technician
Required CredentialsTypically pursuing or recent graduate in IT, Computer Engineering, or related fieldsHigh school diploma or equivalent; technical certifications preferred
Work EnvironmentOffice and data center facilities, often with supervision and trainingData center floors, hardware setup, maintenance areas
Employer & Industry UsageInternship roles in tech companies, data center providers, or IT departmentsEntry-level technician roles in data centers across various industries

The Internship Data Center Infrastructure Engineer role is typically a training position for students or recent graduates focusing on infrastructure design and planning, while Data Center Technicians handle hardware installation, maintenance, and troubleshooting. The internship offers learning opportunities, whereas technicians perform hands-on operational tasks.

What does an internship data center infrastructure engineer do?

An Internship Data Center Infrastructure Engineer assists with the design, maintenance, and optimization of data center hardware and systems. Interns typically support senior engineers in tasks such as monitoring server performance, troubleshooting network issues, and ensuring the physical and logical security of data center assets. They may also help with documentation, equipment installation, and implementing best practices to maintain high availability and reliability. This role provides hands-on experience with the technologies and processes that keep modern data centers running efficiently.

What are the most commonly searched types of Data Center Infrastructure Engineer jobs in Ohio?

The most popular types of Data Center Infrastructure Engineer jobs in Ohio are:

What are popular job titles related to Internship Data Center Infrastructure Engineer jobs in Ohio?

For Internship Data Center Infrastructure Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Internship Data Center Infrastructure Engineer jobs in Ohio look for?

The top searched job categories for Internship Data Center Infrastructure Engineer jobs in Ohio are:

What cities in Ohio are hiring for Internship Data Center Infrastructure Engineer jobs?

Cities in Ohio with the most Internship Data Center Infrastructure Engineer job openings:

Internship Data Center Infrastructure Engineer jobs near you
Infographic showing various Internship Data Center Infrastructure Engineer job openings in Ohio as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution.

AI Infrastructure Engineer - Emerging Technologies

Cologix

Columbus, OH • On-site

$103K - $136K/yr

Full-time

Re-posted 29 days ago

Job description

About Our Company:
Headquartered in Denver, Colorado, Cologix is a leading North America network-neutral interconnection and hyperscale edge data center company. 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. 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.

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.

This role serves as a bridge between emerging AI technologies and practical implementation across data center development, engineering, construction, operations, and energy infrastructure planning.

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 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.

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
  • Optical networking and switching implications on infrastructure design
  • 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:
  • Training vs. inference workloads
  • GPU utilization patterns
  • Dynamic workload fluctuations
  • Rack-level power variability
  • Networking and latency requirements
  • Assess implications of AI workload behavior on infrastructure resiliency, scalability, efficiency, and operational design.
  • Develop technical recommendations and infrastructure strategies supporting future AI deployments.

AI Compute & Chip Architecture Evaluation

  • Analyze 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 chips.
  • Evaluate implications of evolving chip architectures on rack density, power consumption, cooling requirements, electrical distribution, mechanical infrastructure, space planning, and future development standards.
  • Model 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 scenarios.
  • Assess long-term impacts of emerging chip architectures on energy efficiency and future data center design and development standards.

Data Center Design, Development & Construction

  • Support conceptual and detailed design efforts for AI-ready data center infrastructure.
  • Assist 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 development.
  • Evaluate implications of AI infrastructure evolution on greenfield developments, existing facility retrofits, construction methodologies, scalability, and future campus master planning.
  • Collaborate with engineering, development, and construction teams to develop scalable AI-ready infrastructure standards and deployment models.

Energy Strategy & Power Infrastructure

  • Collaborate 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 solutions.
  • Support analysis of grid-parallel and islanded microgrid architectures, fuel cells, Battery Energy Storage Systems (BESS), bridge power solutions, natural gas generation, and renewable integration opportunities.
  • Evaluate implications of AI workloads on substation development, transmission planning, utility coordination, and energy efficiency and PUE optimization.
  • Assess how future AI compute growth will influence utility planning and power infrastructure strategies.

Cooling & Thermal Management Technologies

  • Analyze current and emerging thermal management solutions including air cooling, direct-to-chip liquid cooling, immersion cooling, rear-door heat exchangers, and hybrid cooling architectures.
  • Assess implications of ultra-high-density AI deployments on mechanical system design, water usage, cooling scalability, heat rejection strategies, thermal resiliency, and future cooling infrastructure standards.
  • Evaluate cooling technologies and infrastructure requirements as AI rack densities continue to increase.

Vendor Engagement & Emerging Technology Assessment

  • Interface 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 technologies.
  • Lead technical assessments of next-generation technologies with respect to reliability, scalability, energy efficiency, sustainability, AI workload performance, construction complexity, and operational resiliency.
  • Support proof-of-concept initiatives, pilot deployments, and technology benchmarking efforts.
  • Develop executive-level recommendations regarding adoption of emerging AI infrastructure technologies and strategic engineering standards.

Cross-Functional Collaboration

  • Collaborate with design engineering, construction, operations, energy strategy, procurement, utilities, technology partners, and external engineering firms and consultants.
  • Support strategic planning initiatives and executive-level technical presentations.
  • Assist in developing future infrastructure standards and innovation roadmaps for AI-enabled data center platforms.
What makes you a good fit: (Qualifications)

Required

  • 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.

Preferred

  • 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.
  • Understanding of high-density cooling technologies.
  • Experience supporting large-scale infrastructure development projects.
  • PE license or equivalent advanced technical credentials.

***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.***

NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as assigned to meet the ongoing needs of the organization.

Cologix is proud to be an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status.  If you need assistance in applying for any of our open positions, please contact us at [email protected] or call 720-940-2551. 

The California Consumer Privacy Act ("CCPA") creates privacy rights relating to the collection, sale, disclosure, and deletion of consumers' personal information. The CCPA requires businesses to provide consumers, including job applicants and employees, with information about their rights, including a description of the categories of personal information to be collected and the purpose for which the information will be used. For additional information regarding your rights, including a description of the categories of personal information to be collected and the purpose for which the information will be used, please see https://cologix.com/privacy-policy/.

Cologix' data centers are ISO 27001:2022 and ISO 14001:2015 certified. These certifications demonstrate Cologix's commitment to both information security and environmental stewardship. At Cologix, protecting information assets and minimizing environmental impacts are everyone's responsibility.

Cologix employees are responsible for:
Understanding and following Cologix's information security, cybersecurity, privacy,
and environmental management policies, procedures, and standards.
Ensuring conformance with the requirements of both the Information Security
Management System (ISMS) and the Environmental Management System (EMS).
Remaining vigilant and reporting any information security or environmental incidents,
vulnerabilities, risks, or non-conformities to the appropriate teams.
Actively participating in Cologix's efforts to maintain and improve information security
and environmental performance.

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