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Datacenter Engineer Salary Jobs (NOW HIRING)

Project Manager - Datacenter

PA · On-site

$99K - $145K/yr

Strong application of Power Engineered products * 5+ years of electrical experience, Project ... Salaries are based upon candidate skills, experience, and qualifications, as well as market and ...

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Datacenter Engineer Salary information

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$51.5K

$147.5K

$197K

How much do datacenter engineer salary jobs pay per year?

As of Aug 19, 2026, the average yearly pay for datacenter engineer salary in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What is the average salary for a datacenter engineer?

The average salary for a Datacenter Engineer in the United States typically ranges from $75,000 to $120,000 per year, depending on experience, location, and company size. Entry-level positions may start around $65,000, while senior or specialized roles can earn upwards of $140,000 annually. Additional factors such as certifications, shift differentials, and overtime can also impact overall compensation.

What factors can influence the salary range for a datacenter engineer?

Salary for a Datacenter Engineer can vary based on several key factors, including years of experience, level of technical expertise, certifications (such as Cisco, Microsoft, or AWS), and the size and location of the datacenter. Engineers working in large metropolitan areas or for major tech firms may command higher salaries due to cost of living and the complexity of their responsibilities. Additionally, those with specialized skills in cloud technologies or advanced networking often see increased earning potential.

What are the key skills and qualifications needed to thrive as a datacenter engineer, and why are they important?

To thrive as a Datacenter Engineer, you need a solid understanding of networking, server hardware, power and cooling systems, and often a degree in computer science or related field. Familiarity with systems like VMware, Cisco, and data center infrastructure management (DCIM) tools, as well as certifications such as CompTIA Server+ or Cisco CCNA, are commonly expected. Strong problem-solving, attention to detail, and effective communication skills help you manage complex systems and coordinate with teams. These competencies ensure efficient datacenter operations, minimize downtime, and support business continuity.

What is the difference between Datacenter Engineer Salary vs Network Operations Center (NOC) Technician Salary?

AspectDatacenter Engineer SalaryNetwork Operations Center (NOC) Technician Salary
Required CredentialsCertifications like Cisco CCNA, CompTIA Server+, relevant degreesCertifications like Cisco CCNA, CompTIA Network+, relevant degrees
Work EnvironmentData centers, server rooms, technical facilitiesNetwork operation centers, monitoring stations
Employer & Industry UsageIT companies, data center providers, cloud servicesTelecom, internet service providers, large enterprises

Both roles require networking certifications and technical skills, often working in data centers or network facilities. While Datacenter Engineers focus on server infrastructure and hardware, NOC Technicians primarily monitor and troubleshoot network issues. Salary differences depend on experience and location, but both are vital in IT infrastructure management.

How much do datacenter engineers get paid?

Datacenter engineers typically earn a median salary ranging from $70,000 to $120,000 annually, depending on experience, location, and certifications such as Cisco or CompTIA. Salaries can vary based on the size of the data center, technical skills, and whether they work in on-site or remote environments.
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What states have the most Datacenter Engineer Salary jobs?

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What job categories do people searching Datacenter Engineer Salary jobs look for?

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Infographic showing various Datacenter Engineer Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.

Principal Datacenter HSIO Engineer

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 12 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

NVIDIA is a learning machine that constantly evolves by seeking exciting opportunities that matter to the world, and that only we can solve. We attract the world's best people, so we can achieve our highest aim: building a company that lets us do our life's work, at the highest level of our craft. Join our new team building the next generation of datacenter infrastructure that powers the future of AI. We are seeking highly motivated technical experts to join our new organization leading datacenter product design.
What you'll be doing:
  • Drive end-to-end system architecture from silicon to rack level
  • Lead cross-domain optimization efforts involving power delivery, thermal design, signal integrity, and mechanical constraints
  • Develop innovative features at all levels (silicon/system) to help improve GPU performance
  • Collaborate with vendors and suppliers for interconnect (electrical/optical), power delivery, and memory solutions
  • Provide expertise and support to validation teams with planning and execution
  • Work with customers on an as-needed basis to help deliver products

What we need to see:
  • 15+ years of experience in a rigorous technical hardware role interfacing with systems (HW system architecture, PCB design, mixed signal design, hardware validation, system verification, signal integrity, etc)
  • Master's degree (or equivalent experience) in Electrical Engineering or related field
  • Deeply inquisitive and able to use core technical competencies to provide direction on system architecture
  • Ability to see big picture tradeoffs for product success
  • Motivation and ability to manage concurrent projects and priorities with tight deadlines in a multifaceted environment
  • Excellent communication skills required to work well with multi-functional teams (software, firmware, marketing, mixed signal, etc.)
  • Previous experience with L10/L11
  • Deep understanding of system level (L11) power architecture tradeoffs
  • Knowledge and experience with modern optical communications (pluggables, CPO)
  • Strong signal/power integrity background with hands on lab experience (Oscilloscope, TDR, VNA)

Ways to Stand Out from the crowd:
  • Experience with applied ML frameworks, successful applications of AI/ML to hardware problems
  • Understanding of electrical vs mechanical tradeoffs
  • Proficiency with CAD simulation tools
  • Ability to think outside the box!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 15, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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

Year founded

1993