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Datacenter Jobs in Raleigh, NC (NOW HIRING)

CYNET SYSTEMS

Data Center Patch Management Anlyst

Cary, NC · On-site

$65K - $70K/yr

Datacenter. * Patch Management. * Windows Server. * Linux. * WSUS. * SCCM. * Red Hat Satellite. * VMware vSphere. * Hyper-V. * PowerShell. * Bash. * ITSM. * CMDB. Qualification And Education: * 02 ...

Analogdevices

Senior Design Evaluation Engineer

Durham, NC · On-site

$101K - $138K/yr

In addition to power controllers aimed at datacenters, our team also creates best-in-class general-purpose products to service broad markets. As a Senior Design Evaluation Engineer, you will be ...

Analog Devices

Senior Design Evaluation Engineer

Durham, NC · On-site

$100K - $135K/yr

In addition to power controllers aimed at datacenters, our team also creates best-in-class general-purpose products to service broad markets. As a Senior Design Evaluation Engineer, you will be ...

Eaton

Power System Modeling Principal Engineer

Raleigh, NC · On-site

$180K - $225K/yr

Eaton's Electrical Sector is shaping the future of intelligent power management for next generation datacenter power architectures. As facilities evolve toward converter dominated, DC centric, and ...

Eaton

Project Manager - Hyperscale

Raleigh, NC · Remote

$99K - $145K/yr

This position is heavily involved in the electrical and mechanical details of major strategic Datacenter project orders. The Project Manager is responsible for achieving sales goals and executing ...

New

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

Qualcomm Technologies, Inc. is focused on advancing machine learning compiler technologies for AI accelerators in the Cloud and Datacenter market. The role involves leading a team to innovate ML ...

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Showing results 21-40

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Datacenter information

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$50.1K

$143.3K

$191.5K

How much do datacenter jobs pay per year?

As of Sep 5, 2026, the average yearly pay for datacenter in Raleigh, NC is $143,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $190,500.00 per year, depending on experience, location, and employer.

What is a datacenter?

A datacenter is a specialized facility that houses computer systems, servers, networking equipment, and storage infrastructure. These centers provide centralized locations for the collection, storage, management, and dissemination of data and applications. Datacenters are critical for supporting the IT operations of businesses, organizations, and online services, ensuring high availability, security, and reliability. They often have advanced cooling, power backup, and physical security systems to protect the equipment and data. Companies may operate their own datacenters or use third-party providers for colocation or cloud services.

What are the key skills and qualifications needed to thrive as a data center technician, and why are they important?

To thrive as a Data Center Technician, you need strong knowledge of computer hardware, networking, and power/cooling systems, often supported by an associate degree or relevant certifications like CompTIA Server+. Familiarity with data center infrastructure management (DCIM) tools, ticketing systems, and remote monitoring platforms is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills for diagnosing issues and collaborating with technical teams. These skills and qualifications are important to ensure uptime, maintain security, and support the reliable operation of mission-critical IT infrastructure.

What are some common challenges faced by professionals working in a datacenter environment?

Working in a datacenter often involves managing high-stakes situations such as unexpected hardware failures, power outages, and maintaining strict uptime requirements. Professionals must be prepared to troubleshoot technical issues quickly and efficiently, sometimes outside of standard business hours. Additionally, adhering to rigorous security and compliance protocols is essential, as datacenters handle sensitive data for organizations. Teamwork and clear communication with network engineers, security specialists, and facility managers are crucial for keeping operations smooth and minimizing downtime.

Do data centers pay well?

Data center jobs, such as technicians and engineers, generally offer competitive salaries that vary based on experience, location, and certifications like Cisco or CompTIA. Entry-level positions may start lower, but experienced professionals with specialized skills can earn above-average wages in the industry.

What type of jobs are at a data center?

Jobs at a data center include roles such as data center technician, network engineer, systems administrator, and facilities manager. These positions involve maintaining hardware, managing network infrastructure, ensuring security, and supporting power and cooling systems, often requiring technical skills and certifications like CompTIA or Cisco. Work environments are typically 24/7 to ensure continuous operation.

What are the most commonly searched types of Datacenter jobs in Raleigh, NC?

The most popular types of Datacenter jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Datacenter jobs?

Cities near Raleigh, NC with the most Datacenter job openings:

Datacenter jobs near you
Infographic showing various Datacenter job openings in Raleigh, NC as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 67% In-person, 13% Hybrid, and 20% Remote job distribution, with an average salary of $143,336 per year, or $68.9 per hour.

Senior System Software Engineer - Performance

Nvidia

Durham, NC • On-site

Full-time

Re-posted 16 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

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 tightly coupled CPU, GPU and DPU technology 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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Come join the team and see how you can make a lasting impact on the world. NVIDIA is searching for a highly motivated, technical engineer to join the Tegra system-on-chip (SoC) software organization. You will work on key aspects of our ARM SW ecosystem and system software architecture.

With a targeted charter to enable best-in-class datacenter-scale performance and efficiency for our next generation of datacenter products, including CPUs and CPU+GPU Superchips. What you will be doing: Design, develop, test, and optimize software for our next-generation SoCs. In both pre-silicon and post-silicon phases of execution.

Review architectural performance bottlenecks for various system wide work loads. Identify HW/SW policies to drive performance and performance/watt leadership. Using strong communication skills, build and drive architecture, analysis documents and communications to internal and/or external audiences about our technology.

Competitive analysis comparing uArchitecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors. Influence and drive full-stack adoption of performance optimizations and best practices across NVIDIA SW products & OSS SDKs What we need to see: BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience). 6+ years of relevant computer architecture or SW development experience.

Proven leadership skills and strong ownership on past projects. Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs. Strong understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming.

Strong stills in performance analysis, data analysis and performance optimization. Strong use of linux perf tool, application/library performance optimizations. Ways to stand out from the crowd: Deep expertise in ARM architecture and SW ecosystem.

Proficient in analyzing, debugging and tuning performance of complex system software stacks. Experience with CPU server system workloads and performance analysis. Familiarity with CUDA programming and/or GPUs.

Experience with HPC or large-scale computing environments. 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 June 30, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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