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Data Center Engineer Jobs in California (NOW HIRING)

JLL

Data Center - Talent Network

Irvine, CA

We are looking for skilled engineers and managers to deliver world-class solutions for mission-critical environments. About JLL's Data Center Practice With specialized expertise and global reach, our ...

Geico

Contact Center Data Engineer I

San Francisco, CA · On-site

$86K - $141K/yr

The Contact Center Data Engineer I plays a critical role in improving contact center performance by turning operational, customer, and system data into reliable insights, reporting, and automation ...

Geico

Contact Center Data Engineer I

San Jose, CA · On-site

$86K - $141K/yr

The Contact Center Data Engineer I plays a critical role in improving contact center performance by turning operational, customer, and system data into reliable insights, reporting, and automation ...

JLL

Data Center - Talent Network

San Francisco, CA

We are looking for skilled engineers and managers to deliver world-class solutions for mission-critical environments. About JLL's Data Center Practice With specialized expertise and global reach, our ...

JLL

Data Center - Talent Network

San Francisco, CA

We are looking for skilled engineers and managers to deliver world-class solutions for mission-critical environments. About JLL's Data Center Practice With specialized expertise and global reach, our ...

Geico

Contact Center Data Engineer I

Palo Alto, CA · On-site

$86K - $141K/yr

The Contact Center Data Engineer I plays a critical role in improving contact center performance by turning operational, customer, and system data into reliable insights, reporting, and automation ...

Lambda

$185K - $290K/yr

Multiple Sites - US (Remote/Hybrid eligible) Travel : 50% travel to our data center sites Role Overview The Data Center Facility Telemetry & Controls Management Engineer is a critical technical role ...

Supermicro

Data Center Service Engineer

San Jose, CA · On-site

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, and Enterprise IT. They are seeking a Service Engineer responsible for ...

ConfigUSA

Data Center

Culver City, CA · On-site

Culver City, CA (Onsite - Locals preferred) Duration: 6 months Cloud Lead & Data Center SME ... Knowledge of Agile and DevOps methodologies as applied to infrastructure teams

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All JobsData Center Engineer JobsData Center Engineer Jobs in California

Data Center Engineer information

See California salary details

$50.8K

$145.5K

$194.4K

How much do data center engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data center engineer 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 does a data center engineer do?

A Data Center Engineer is responsible for designing, maintaining, and troubleshooting the hardware and infrastructure of data centers. Their work involves installing servers, managing network systems, ensuring optimal cooling and power, and monitoring system performance. They play a critical role in keeping data centers operational, secure, and efficient, supporting the IT needs of organizations. Data Center Engineers often collaborate with IT, security, and facilities teams to ensure 24/7 uptime and to plan for future growth.

What is the difference between Data Center Engineer vs Network Engineer?

AspectData Center EngineerNetwork Engineer
CertificationsCompTIA Server+, Cisco CCNA, Data Center-specific certificationsCCNA, CCNP, Cisco certifications
Work EnvironmentData centers, server rooms, hardware-focusedNetwork infrastructure, routing, switching environments
ResponsibilitiesDesign, maintain, and troubleshoot data center hardware and infrastructureDesign, implement, and manage network systems and connectivity

While both roles require networking knowledge and certifications, Data Center Engineers focus on physical infrastructure, servers, and hardware within data centers. Network Engineers primarily work on network design, configuration, and troubleshooting of network systems. Understanding the hardware environment is key for Data Center Engineers, whereas Network Engineers concentrate on network connectivity and protocols.

What are some common challenges faced by data center engineers, and how can they be managed on the job?

Data Center Engineers often encounter challenges such as maintaining uptime during hardware failures, managing rapid scaling demands, and ensuring strong physical and cybersecurity. These issues require quick troubleshooting skills, familiarity with redundancy protocols, and proactive monitoring of systems. Effective communication and collaboration with IT, facilities, and security teams are also crucial to address incidents efficiently and minimize downtime. Staying updated with evolving technologies and best practices helps engineers anticipate and mitigate potential risks.

How much money does a data center engineer make?

A data center engineer's salary varies by experience, location, and certifications, but typically ranges from $70,000 to $120,000 annually. Entry-level positions may start lower, while experienced engineers with specialized skills or certifications can earn higher salaries.

What skills do you need for a data center engineer?

To thrive as a Data Center Engineer, you need a solid background in IT infrastructure, networking, and hardware maintenance, often supported by a degree in computer science or a related field. Familiarity with server management tools, virtualization platforms (like VMware), and certifications such as CompTIA Server+ or Cisco CCNA are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in this role. These skills ensure reliable data center operations, minimize downtime, and support the critical IT needs of the organization.

What is a data center engineer?

A data center engineer’s duties are to design, implement, and monitor information technology systems at a data center. A data center engineer must be familiar with a variety of IT hardware, such as servers, cables, power systems, and cooling equipment, needed to maintain the physical safety of an IT facility, which includes fire safety. Their job is to set up the infrastructure needed to connect servers and hard drives together, and be familiar with the capacity of the technology. After setting up IT systems, they are responsible for system monitoring, maintenance, and troubleshooting.

More about Data Center Engineer jobs
What are the most commonly searched types of Data Center Engineer jobs in California? The most popular types of Data Center Engineer jobs in California are:
What are popular job titles related to Data Center Engineer jobs in California? For Data Center Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Center Engineer jobs in California look for? The top searched job categories for Data Center Engineer jobs in California are:
What cities in California are hiring for Data Center Engineer jobs? Cities in California with the most Data Center Engineer job openings:
What are popular job titles related to Data Center Engineer jobs in CA? For Data Center Engineer jobs in CA, the most frequently searched job titles are:
Data Center Engineer jobs near you
Infographic showing various Data Center Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $145,530 per year, or $70 per hour.

Data Center GPU Performance Engineer - Product

NVIDIA

Santa Clara, CA • On-site

Full-time

Re-posted 8 hours ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Job Summary:
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. They are seeking a Data Center GPU Performance Engineer to guide GPU architecture and drive innovation in data center applications, particularly for Large Language Models. The role involves analyzing workload trends and translating customer needs into product proposals.
Responsibilities:
• Guide the architecture of the next-generation of GPUs through an intuitive and comprehensive grasp of how GPU architecture affects performance for datacenter applications, especially Large Language Models (LLMs)
• Drive the discovery of opportunities for innovation in GPU, system, and data-center architecture by analyzing the latest data center workload trends, Deep Learning (DL) research, analyst reports, competitive landscape, and token economics
• Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals
• Distill sophisticated analyses into clear recommendations for both technical and non-technical audiences
Qualifications:
Required:
• 5+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued
• BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.
• Deep understanding of fundamentals of GPU architecture, Machine Learning, Deep Learning, and LLM architecture with ability to articulate relationship between application performance and GPU and data center architecture
• Ability to develop intuitive models on the economics of data center workloads including data center total cost of operation and token revenues
• Demonstrated ability to fully contribute to above areas within 3 months
• Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Preferred:
• 2+ years direct experience in developing or deploying large scale GPU based AI applications, like LLMs, for training and inference
• Ability to quickly develop intuitive, first-principles based models of Generative AI workload performance using GPU and system architecture (FLOPS, bandwidths, etc.)
• Comfort and drive to constantly stay updated with the latest in deep learning research (academic papers) and industry news
• Track record of managing multiple parallel efforts, collaborating with diverse teams, including performance engineers, hardware architects, and product managers
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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

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