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Datacenter Engineer Jobs in California (NOW HIRING)

Requirements: - Proficiency in C programming for firmware development. Experience working in a Linux environment. Strong debugging and problem-solving skills. Strong Exp In Servers and Datacenters.

AI Datacenter & Infrastructure Associate VP Join our AI & Engineering team and help transform ... AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate ...

AI Datacenter & Infrastructure Associate VP Join our AI & Engineering team and help transform ... AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate ...

AI Datacenter & Infrastructure Associate VP Join our AI & Engineering team and help transform ... AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate ...

Showing results 41-60

Datacenter Engineer information

See California salary details

$50.8K

$145.5K

$194.4K

How much do datacenter engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for datacenter 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 is a datacenter engineer?

Datacenter Engineers are IT professionals who design, implement, maintain, and troubleshoot the physical and virtual infrastructure of data centers. Their responsibilities include managing servers, networking equipment, storage systems, and ensuring optimal power and cooling efficiency. They also monitor system performance, address hardware failures, and coordinate with other IT teams to support business operations. Datacenter Engineers play a crucial role in maintaining uptime, security, and scalability of the organization's critical IT assets.

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

To thrive as a Datacenter Engineer, you need a strong understanding of server hardware, networking, power/cooling systems, and typically a degree in IT, computer science, or related field. Familiarity with data center infrastructure management (DCIM) tools, virtualization platforms like VMware, and relevant certifications such as CompTIA Server+ or Cisco CCNA are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These abilities ensure the reliability, efficiency, and security of data center operations, which are critical for organizational uptime and service delivery.

What are some typical challenges datacenter engineers face when maintaining uptime and reliability?

Datacenter Engineers often encounter challenges such as managing unexpected hardware failures, coordinating timely maintenance without disrupting service, and ensuring robust network connectivity. They must also stay vigilant against security threats and environmental risks like power outages or overheating. Proactively monitoring systems, collaborating closely with IT and facilities teams, and following standardized protocols help address these challenges and ensure the datacenter remains operational and secure.

What is the difference between Datacenter Engineer vs Network Engineer?

AspectDatacenter EngineerNetwork Engineer
CertificationsCompTIA Server+, Cisco CCNA, VMwareCisco CCNA, CompTIA Network+
Work EnvironmentData centers, server rooms, hardware-focusedNetwork infrastructure, routing, switching
Primary ResponsibilitiesManaging servers, hardware, power, coolingDesigning, implementing, maintaining networks
Industry UsageIT, cloud providers, large enterprisesTelecommunications, IT, enterprise networks

While both roles work within IT infrastructure, Datacenter Engineers focus on physical hardware, servers, and data center operations, whereas Network Engineers specialize in network design, configuration, and troubleshooting. Understanding these differences helps organizations assign the right skills to each role.

Infographic showing various Datacenter Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $145,530 per year, or $70 per hour.

Principal Datacenter HSIO Engineer

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 9 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 244 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


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