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Datacenter Jobs in California (NOW HIRING)

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Datacenter information

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$50.8K

$145.5K

$194.4K

How much do datacenter jobs pay per year?

As of Aug 16, 2026, the average yearly pay for datacenter in California is $145,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $193,400.00 per year, depending on experience, location, and employer.

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.

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 operations with shift schedules.

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 the most commonly searched types of Datacenter jobs in California?

The most popular types of Datacenter jobs in California are:

What cities in California are hiring for Datacenter jobs?

Cities in California with the most Datacenter job openings:

Infographic showing various Datacenter job openings in California as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, 2% Temporary, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $145,530 per year, or $70 per hour.

Senior Datacenter Technical Program Manager, At-Scale AI Clusters

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 1 hour ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

NVIDIA is looking for a highly-motivated Technical Program Manager (TPM) to join our Applied Systems Engineering Team to drive datacenter integration for the next generation of NVIDIA AI supercomputing systems. This TPM will play a crucial role throughout the lifecycle of the latest AI systems at scale, from datacenter design and requirements definition, through systems integration of AI clusters into the datacenter environment, and support for these systems as they enter production.
This role will drive collaboration between engineering leaders across multiple hardware and software teams, helping us work together to build AI supercomputers for NVIDIA engineers and develop reference architectures to advise customers and partners.
What you'll be doing:
  • Collaborate with outstanding engineers and architects to build and deploy large scale GPU computing systems based on NVIDIA's reference supercomputing architectures
  • Lead the integration of new AI clusters with datacenter facilities with demanding requirements on power, cooling, and instrumentation
  • Coordinate design and fit-out of new datacenter builds, working with both internal engineering teams and external contractors
  • Own and produce detailed documentation for the end-to-end process for datacenter fit-out and integration
  • Communicate internally with engineering leadership to prioritize and address key issues essential to the success of our largest customers

What we need to see:
  • BS in Applied Science or Engineering (or equivalent experience)
  • 8+ years of overall experience
  • Experience with high-performance computing systems and GPU clusters deployed in on-premises datacenters
  • A passion for understanding challenging technical problems and driving the process of finding a solution
  • Strong teamwork and interpersonal skills, to facilitate building a collaborative workflow for coordination between many teams

Ways to stand out from the crowd:
  • Understanding of datacenter design, including familiarity with power and cooling technologies
  • Expertise in system monitoring and instrumentation of large clusters, using technologies such as Prometheus, Grafana, Splunk, Modbus, and BACNet
  • Experience working with the engineering or academic research community supporting high-performance computing or deep learning

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 for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 4, 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


Nvidia logo

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