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Nvidia Data Centers Jobs (NOW HIRING)

Nvidia

OR · On-site

Drive server management for large clusters and data centers deploying GPUs and Grace solution from Nvidia. * Work with data center architects and cloud customers to narrow down on requirements for ...

Nvidia

OR · Hybrid

NVIDIA platform is known for its AI dominance in deep learning training and inference. Nonetheless, modern data centers have hundreds of millions of CPUs that are used today to run mission critical ...

Nvidia

OR

$128K - $166K/yr

NVIDIA wants someone to lead planning and readiness of all new products for deployments CSP AI data centers. This includes power and cooling systems, cabling, network provisioning, and bring-up and ...

Nvidia

OR · On-site

Collaborate with NVIDIA product, engineering and partners teams to understand NVIDIA's reference ... of hyperscale data centers. The ideal candidate will have at least 8+ years of experience ...

Nvidia

OR · On-site

NVIDIA is searching for an outstanding Developer Relations leader to build a robust developer and ... Building end-to-end patterns linking grid/plant OT to IT/data centers facilities covering ...

Nvidia

Senior Network Architect

Santa Clara, CA · Hybrid

Collaborate with internal product and engineering teams to develop "NVIDIA on NVIDIA" reference architectures and bestpractice solutions for largescale compute and AI data centers. What we need to ...

Nvidia

OR · On-site

NVIDIA is looking for an experienced Network Solutions Architect Engineer to help bring our next-generation AI networking platforms into production at customer data centers. Do you want to be part of ...

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All JobsNvidia Data Centers Jobs

Nvidia Data Centers information

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$46K

$165K

$243.5K

How much do nvidia data centers jobs pay per year?

As of Jun 9, 2026, the average yearly pay for nvidia data centers in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Center Engineer at Nvidia, and why are they important?

To thrive as a Data Center Engineer at Nvidia, you need a solid background in IT infrastructure, networking, and server hardware, typically supported by a relevant degree or certifications like CompTIA Server+ or Cisco CCNA. Familiarity with data center management tools, virtualization platforms, and monitoring systems is highly valued. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills in this role. These skills and qualifications are important to ensure optimal data center performance, minimize downtime, and support Nvidia's high-performance computing environments.

What are the typical challenges faced by professionals working in Nvidia Data Centers, and how can new hires prepare to address them?

Professionals working in Nvidia Data Centers often encounter challenges such as managing high-density GPU clusters, ensuring optimal cooling and power efficiency, and supporting rapid scaling for AI and high-performance computing workloads. New hires can prepare by familiarizing themselves with best practices in data center operations, gaining experience with Nvidia hardware and software solutions, and staying updated on the latest advancements in data center automation and security. Collaboration with cross-functional teams, such as network engineers and software developers, is also essential to maintain efficient operations and resolve issues quickly.

What is the difference between Nvidia Data Centers vs Data Center Network Engineers?

AspectNvidia Data CentersData Center Network Engineers
Required CredentialsIT certifications, networking, hardware knowledgeNetworking certifications (CCNA, CCNP), hardware skills
Work EnvironmentData centers, hardware installation, system managementNetwork infrastructure, troubleshooting, configuration
Employer & Industry UsageTech companies, cloud providers, hardware manufacturersData centers, telecom, enterprise IT

While Nvidia Data Centers focus on managing and maintaining Nvidia's hardware infrastructure and data center operations, Data Center Network Engineers specialize in designing, implementing, and troubleshooting network systems within data centers. Both roles require networking knowledge and certifications but differ in their primary focus—hardware and system management versus network infrastructure.

What are Nvidia Data Centers?

Nvidia Data Centers are specialized facilities that house high-performance computing infrastructure powered by Nvidia’s GPUs and related technologies. These data centers are designed to run complex workloads such as artificial intelligence, machine learning, data analytics, and high-end graphics processing. Nvidia’s data center solutions enable businesses and researchers to process and analyze massive amounts of data efficiently, supporting industries like healthcare, automotive, finance, and more. They are crucial for advancing AI research, cloud computing, and edge computing applications.
Infographic showing various Nvidia Data Centers job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 89% Full Time, 1% Temporary, and 8% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Solutions Architect, Data Center Buildouts - NVIS

Solutions Architect, Data Center Buildouts - NVIS

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 10 days ago

Job description

Join NVIDIA as a Solution Architect on the Infrastructure Specialists team. Help redefine deep learning, data analytics, and power data centers worldwide using NVIDIA products. Collaborate on building the world's largest and fastest AI Factories and supercomputers. We are seeking a candidate who can lead the planning and deployment of large scale AI data centers, focusing on infrastructure buildout including power and cooling systems, telemetry and control systems, and large scale design, construction and delivery processes.
In this role, your main focus will be to support customers in the areas of planning, design, construction, and deployment of large scale AI factories. You will be a part of the team building capabilities to design, construct and deliver large AI factories based on NVIDIA's reference designs. This includes architectural systems, power distribution, cooling systems, integration of telemetry and control systems, and all other physical infrastructure. Collaboration with product and engineering teams, customers, and the partner/provider ecosystem will be crucial to achieving successful deployments.
What you will be doing:
  • NVIS Data Center deployment planning: Collaborate with product and engineering teams to understand NVIDIA's reference architectures for data center infrastructure including power distribution, cooling systems, controls and monitoring, and network/cabling architecture. Support customers and partners in quickly implementing this architecture into advanced and reliable data center designs.
  • 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).
  • Design and construction oversight: Review and appraise customers' and partners' infrastructure design plans, verifying their compliance with NVIDIA reference architecture, industry standards, and regulatory requirements. Deliver guidance, expertise and suggestions to optimize performance, scalability, and cost-effectiveness.
  • Ensure alignment with our customers and partners on reference architecture, guidelines and processes to make their deployments successful.
  • Assess the operational efficiency, reliability, and readiness of data center infrastructure components before deploying AI/HPC clusters. Develop and implement comprehensive audit plans and conduct pre-deployment audits to identify potential issues, risks, and areas for improvement.
  • Partner and vendor ecosystem: Develop and sustain a strong ecosystem of manufacturers, service providers and partners as needed, to ensure customers can deploy NVIDIA solutions rapidly and reliably as well as be the key liaison for customers and partners on matters of data center infrastructure.
  • Act as the NVIS mentor providing guidance, mentorship, and support to ensure the team's success in their respective roles.
  • Quality Assurance: Implement and make quality assurance processes to ensure that deployments meet established specifications and performance benchmarks. Conduct detailed bring-up, testing, and commissioning to validate the functionality and reliability of infrastructure components.
  • Continuous Improvement: Drive continuous improvement initiatives to improve data center infrastructure reliability, resilience, and sustainability. Find opportunities to streamline processes, automate repetitive tasks, and apply new technologies to optimize infrastructure operations.
  • Collaboration and Communication: Collaborate and communicate across internal teams, external vendors, and customers to facilitate the flawless integration of data center infrastructure solutions. Serve as a domain authority and point of contact for infrastructure-related inquiries and critical issues.

What we need to see:
  • Bachelor's degree or equivalent experience in Engineering, or a related field. Advanced degree or equivalent experience or relevant certifications are desirable.
  • 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 12 years of experience, preferably in sophisticated, high-density AI/HPC data centers.
  • Proven experience in data center engineering, operations, deployment and/or infrastructure management roles, focusing on large-scale data center deployments.
  • Strong technical knowledge and experience in data center systems and processes- power distribution, liquid cooling, rack/server chassis, and cabling.
  • Proven technical and project leadership under fluid situations, and ability to adapt to change.
  • Strong communication at both ground execution as well as executive levels, internally and with customers
  • Excellent analytical, problem-solving, communication and decision-making skills, keen attention to detail, and a dedication to quality.
  • Strong record of excellent partnership and putting the mission's success first.
  • Coordination & Time Management - proficient at planning, scheduling, and coordinating 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 deployment, operations process, safety, and security measures.
  • Solid understanding of the whole data center Infrastructure stack.
  • Outstanding social skills.

NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us. If you're creative and autonomous, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 17, 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.
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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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