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Datacenter Analyst Jobs (NOW HIRING)

Nvidia

Datacenter GPU Power Architect

Austin, TX · On-site

We are looking for a Datacenter GPU Power Architect! What you'll be doing: * You will be ... You will help with Performance vs Power Analysis, track ASIC milestones for impactful NVIDIA future ...

Nvidia

Datacenter GPU Power Architect

Santa Clara, CA · On-site

We are looking for a Datacenter GPU Power Architect! What you'll be doing: * You will be ... You will help with Performance vs Power Analysis, track ASIC milestones for impactful NVIDIA future ...

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Datacenter Analyst information

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How much do datacenter analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for datacenter analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a datacenter analyst do?

A Datacenter Analyst is responsible for monitoring, managing, and optimizing the operations of data centers. They ensure the availability, reliability, and performance of servers, storage, networks, and related infrastructure. Their duties often include troubleshooting hardware and software issues, performing regular maintenance, and implementing security protocols. Datacenter Analysts also assist with capacity planning and may coordinate with other IT professionals to support business needs.

What are the key skills and qualifications needed to thrive as a datacenter analyst?

To thrive as a Datacenter Analyst, you need strong knowledge of IT infrastructure, network systems, and data management, often supported by a degree in computer science or information technology. Familiarity with server hardware, virtualization platforms, monitoring tools, and certifications such as CompTIA Server+ or Cisco CCNA are typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for this role. These skills ensure efficient datacenter operations, rapid issue resolution, and reliable support for business-critical IT services.

What are the main challenges a datacenter analyst faces when managing large-scale infrastructure, and how can they be addressed?

Datacenter Analysts often encounter challenges such as maintaining uptime, monitoring hardware performance, and ensuring data security while managing vast numbers of servers and network devices. To address these, they regularly utilize robust monitoring tools, automate routine tasks, and collaborate closely with network engineers and security teams. Staying updated with emerging technologies and adhering to best practices in disaster recovery planning also help mitigate risks and streamline operations.

What is the difference between Datacenter Analyst vs Network Operations Technician?

AspectDatacenter AnalystNetwork Operations Technician
CertificationsCompTIA Server+, Cisco CCNA, Data Center certificationsCompTIA Network+, Cisco CCNA, Network certifications
Work EnvironmentData centers, server rooms, IT infrastructureNetwork operation centers, server rooms, troubleshooting sites
Employer & Industry UsageIT companies, data center providers, cloud servicesTelecom, ISPs, large enterprises with network infrastructure

While both roles involve working with IT infrastructure, a Datacenter Analyst primarily focuses on managing and maintaining data center hardware and systems, ensuring optimal performance. In contrast, a Network Operations Technician concentrates on monitoring and troubleshooting network issues. Both roles require similar certifications and work environments, but their core responsibilities differ in scope and focus.

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What job categories do people searching Datacenter Analyst jobs look for?

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Datacenter Analyst jobs near you
Infographic showing various Datacenter Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Debug System Engineer, Datacenter

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $167K/yr

Full-time

Re-posted 28 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 246 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 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. 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.
Join NVIDIA's datacenter product engineering team in our Operations organization and be at the forefront of technological advancement! As a Senior System Debug Engineer, you will drive failure analysis and debug efforts during our Mass Production (MP) phase. You'll collaborate with some of the hardest working minds in the industry to ensure the flawless manufacturing of datacenter GPU products. Your expertise in servers, systems, and board development will be necessary in understanding the intricate workings of our GPU datacenter products and ensuring their quality. This role offers the outstanding opportunity to work on innovative technology that will influence the future of datacenters.
What you will be doing:
As part of the product engineering group, you will handle debugging Datacenter DGX, MGX, and HGX products, focusing on identifying the root causes of factory build problems. You will:
  • Perform failure analysis (FA) on GPU baseboards and servers at rack, system, and/or component level (including from L6 to L11/rack level).
  • Analyze logs and failures that may span Hardware (HW), Software (SW), and Firmware (FW) and propose debug and mitigation strategies.
  • Build experiments and collect/analyze data for Failure Analysis root cause.
  • Engage in Build for Test, Manufacturing (DFx) enabling efforts and deliver products according to schedule.
  • Provide root cause and corrective action plans in a timely manner and write clear and complete reports detailing steps taken and findings.
  • Develop debug guides for partner teams and customers.
  • Communicate effectively with industry vendors, suppliers, internal and external engineers, factory personnel, and sales/marketing teams in the US and overseas.

What we need to see:
  • 8+ years of working experience in a related field.
  • Bachelor's or Master's degree in Electrical Engineering, or related field (or equivalent experience).
  • Excellent failure analysis or debug experience on motherboards, graphic cards, servers, PCs, or datacenter products.
  • Demonstrated knowledge in enabling DFx requirements.
  • Proven understanding and strong skills in one or more areas: Hardware, Software, Component, Process, Test, Validation.
  • Strong negotiation, organization, and time management skills.
  • Familiarity with sophisticated characterization equipment, including oscilloscopes and analyzers.
  • Problem solving mentality
  • Ability to work well in a team as well as independently.
  • Strong ability to communicate clearly and work cohesively with partners.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 24, 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

Year founded

1993

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