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Data Center Design Jobs in Raleigh, NC (NOW HIRING)

We engineer and design solutions that improve the world around us. As a company, we promise to ... We design large hyperscale data center campuses and colocation data centers throughout the U.S.

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Data Center Design information

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$11

$49

$100

How much do data center design jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data center design in Raleigh, NC is $49.76, according to ZipRecruiter salary data. Most workers in this role earn between $28.35 and $61.57 per hour, depending on experience, location, and employer.

What is a data center design?

A Data Center Design job involves planning, designing, and optimizing the infrastructure of data centers to ensure efficiency, scalability, and reliability. Professionals in this role focus on power distribution, cooling solutions, networking, and space utilization while adhering to industry standards and regulations. They collaborate with engineers, architects, and IT teams to create solutions that support business needs and future growth. This role requires expertise in electrical and mechanical systems, as well as knowledge of emerging technologies in data center management.

What are the key skills and qualifications needed to thrive in data center design?

To thrive in Data Center Design, you need a strong background in electrical and mechanical engineering, experience with IT infrastructure, and a relevant degree or certification such as BICSI or Uptime Institute accreditation. Familiarity with design software (like AutoCAD or Revit), standards such as ASHRAE and TIA-942, and project management tools is often required. Outstanding problem-solving, collaboration, and communication skills help manage complex projects and coordinate across multidisciplinary teams. These capabilities are crucial to ensure efficient, safe, and scalable data center solutions that meet client and regulatory requirements.

What typical challenges do professionals face in data center design roles?

Professionals in Data Center Design routinely face the challenge of balancing clients' evolving capacity needs with energy efficiency, redundancy, and cost constraints. The role often demands coordination among architects, engineers, facility managers, and IT specialists to ensure the infrastructure meets performance and compliance standards. Adapting to rapid technological advancements, sustainability requirements, and tight project timelines are also common. Successfully managing these challenges requires a combination of technical expertise and strong project management skills.

Are data center design jobs high paying?

Data center design jobs typically offer competitive salaries due to the specialized skills required, such as knowledge of electrical systems, cooling, and network infrastructure. Salaries vary based on experience, certifications, and location but generally align with engineering and IT project management roles, often exceeding the national average for technical positions.

How to become a data center design engineer?

To become a data center design engineer, typically a bachelor's degree in electrical engineering, mechanical engineering, or a related field is required. Relevant skills include knowledge of power systems, cooling, and building infrastructure, along with experience using design software like AutoCAD or Revit. Certifications such as LEED or Cisco CCNA can enhance job prospects in this specialized field.

What does a data center designer do?

A data center designer plans and develops the layout, infrastructure, and systems for data centers to ensure efficient, reliable, and secure operation. They work on aspects such as power distribution, cooling, space utilization, and network connectivity, often using design tools like CAD software and adhering to industry standards. Their role involves collaboration with engineers and project managers throughout the construction and commissioning process.

What are the most commonly searched types of Data Center Design jobs in Raleigh, NC?

The most popular types of Data Center Design jobs in Raleigh, NC are:

Infographic showing various Data Center Design job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 14% Part Time, and 6% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $103,510 per year, or $49.8 per hour.

Senior Solutions Architect, Data Center Buildouts - NPN

Durham, NC • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

$65 - $87/hr

Full-time

Posted 6 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Want to join a team that's revolutionizing the field of AI with data center scale solutions. We are seeking a highly technical Solution Architect to serve as a forward-deployed technical liaison between NVIDIA's Partner Network (NPN), NVIDIA's internal teams, and enterprise customers. In this role, your focus will be to support customers and partners in the areas of planning, development, and deployment of large-scale AI factories based on NVIDIA's reference designs.

Acting as a trusted advisor embedded with customer and partner teams, you will bridge solution development, implementation enablement, and post-deployment optimization to accelerate AI factory adoption. What you will be doing: AI Factory deployment planning: Collaborate with NVIDIA product, engineering and partners teams to understand NVIDIA's reference architecture for AI Factory infrastructure. Support customers and partners in quickly implementing this architecture into sophisticated and reliable data center builds.

Building process capabilities: Collaborate across the org to build processes, partner relationships and workflows to deliver and deploy large AI factories at speed of light (SOL). Build and oversight: Review and appraise customers' and partners' installation plans, including all point-to-point cabling assignments, hardware compatibility verification, and BOM reviews, verifying their compliance with NVIDIA reference architecture. Delivering mentorship, expertise and suggestions to optimize performance, scalability, and cost-effectiveness.

Review the operational efficiency, reliability, and readiness of data center and hardware elements before initiating AI/HPC cluster deployments. Design and apply detailed audit plans and conduct pre-deployment audits to detect possible problems, risks, and improvement areas. Quality Assurance: Implement and make quality assurance processes to ensure that deployments meet established specifications and performance benchmarks.

Continuous Improvement: Develop partner-facing playbooks, deployment guides, and guideline documentation specific to AI factory implementations using NVIDIA reference builds. Technical Enablement and Knowledge Transfer: Provide hands-on mentorship to partners on deploying NVIDIA AI factory; conduct workshops and develop runbooks to build partners expertise. Internal Liaison & Feedback Loop: Serve as the representative of the customer/partner within NVIDIA, conveying field insights, deployment challenges, and optimization opportunities to NVIDIA internal and product engineering teams to support the seamless integration of data center infrastructure solutions.

What we need to see: Bachelor's degree or equivalent experience in Engineering, or a related field. Preferred qualifications include an advanced degree or equivalent experience, relevant certifications, or comparable experience. We need an expert professional with a background in multiple aspects of infrastructure delivery, preferably of hyperscale data centers.

The ideal candidate will have at least 8+ years of experience, preferably in high-density AI/HPC data centers. Proven technical expertise in data center systems and operations-power distribution, liquid cooling, rack/server chassis, and cabling. Effective communication at both on-the-ground implementation as well as executive levels, internally and with customers and partners.

Coordination & Time Management - proficient at planning and scheduling tasks related to the job to accomplish objectives within or ahead of designated time frames. Able to travel (25%). Way to Stand out from the crowd: Experience in hyperscale data center rollout, operational procedures, safety, and security protocols.

Strong grasp of the entire data center Infrastructure stack. Strong channel sales and services knowledge and partner co-selling experience Ability to learn quickly and tackle sophisticated problems. This role embodies the forward-deployed engineer approach: you will spend significant time embedded with customer and partner technical teams.

You will move fluidly between field deployments and internal NVIDIA teamwork. Your success is measured by the successful deployment and optimization of AI factories that enable customers and partners to achieve their AI ambitions. You will also provide critical feedback to refine NVIDIA's reference architectures and partner enablement programs.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US