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Enterprise Computing Jobs in California (NOW HIRING)

IBM

Familiarity with Linux-based environments, distributed systems, cloud infrastructure, enterprise computing platforms, or system administration workflows. * Interest in AI efficiency, privacy ...

Super Micro Computer

Staff System Engineer

San Jose, CA · On-site

$160K - $185K/yr

Supermicro ® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded ...

Nvidia

Customer Technical Program Manager

Santa Clara, CA

$151K - $196K/yr

Our technology is at the heart of the state-of-the-art innovation in video games, autonomous machines, cloud and enterprise computing. NVIDIA's solutions power the most powerful AI Platforms and High ...

Nvidia

Customer Technical Program Manager

Santa Clara, CA

$151K - $196K/yr

Our technology is at the heart of the state-of-the-art innovation in video games, autonomous machines, cloud and enterprise computing. NVIDIA's solutions power the most powerful AI Platforms and High ...

Qualcomm

Manager, Public Relations

San Diego, CA · On-site

Experience in marketing or public relations within the PC, ecosystem, semiconductor, consumer electronics, OEM device, or enterprise computing space. * Experience with consumer, commercial, education ...

LLNL

Enterprise Cloud FinOps Lead

Livermore, CA · On-site

$9.8K/wk

We have an opening for an Enterprise Cloud FinOps Lead to join the Computing organization within the Chief Information Office, part of the Director's Office. As the Enterprise Cloud FinOps Lead, you ...

LLNL

Enterprise Cloud FinOps Lead

Livermore, CA

$151K - $185K/yr

We have an opening for an Enterprise Cloud FinOps Lead to join the Computing organization within the Chief Information Office, part of the Director's Office. As the Enterprise Cloud FinOps Lead, you ...

LLNL

Enterprise Cloud FinOps Lead

Livermore, CA · On-site

$151K - $185K/yr

We have an opening for an Enterprise Cloud FinOps Lead to join the Computing organization within the Chief Information Office, part of the Director's Office. As the Enterprise Cloud FinOps Lead, you ...

Qualcomm

Manager, Public Relations

San Diego, CA · On-site

$150 - $200/hr

Experience in marketing or public relations within the PC, ecosystem, semiconductor, consumer electronics, OEM device, or enterprise computing space. * Experience with consumer, commercial, education ...

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All JobsEnterprise Computing JobsEnterprise Computing Jobs in California

Enterprise Computing information

See California salary details

$44.4K

$113.8K

$170.2K

How much do enterprise computing jobs pay per year?

As of Sep 8, 2026, the average yearly pay for enterprise computing in California is $113,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What is enterprise computing?

Enterprise computing refers to the use of technology, software, and hardware to meet the large-scale computing needs of organizations and businesses. It involves managing complex IT infrastructures, including servers, networks, data storage, and business applications, to support critical operations and ensure security, scalability, and reliability. Enterprise computing is essential for handling big data, supporting multiple users, and enabling business processes across various departments within a company.

What are some common challenges faced by professionals in enterprise computing, and how can they be addressed?

Professionals in enterprise computing often face challenges related to managing complex IT infrastructures, integrating legacy systems with modern technologies, and ensuring robust security across large-scale networks. Staying updated with rapid technological changes and maintaining seamless communication across cross-functional teams are also common hurdles. These can be addressed by continuous learning, adopting standardized frameworks, leveraging automation tools, and fostering collaboration with other IT and business units to align technology with organizational goals.

What are the key skills and qualifications needed to thrive in enterprise computing, and why are they important?

To excel in Enterprise Computing, you need expertise in systems architecture, networking, and large-scale infrastructure management, typically supported by a degree in computer science or a related field. Familiarity with enterprise platforms like Windows Server, Linux, virtualization technologies, cloud services (AWS, Azure), and certifications such as CompTIA, Cisco, or Microsoft are highly valued. Strong problem-solving, project management, and collaboration skills set candidates apart in this role. These abilities are crucial to ensure robust, secure, and scalable IT environments that support business operations effectively.

What is the difference between Enterprise Computing vs Network Administrator?

AspectEnterprise ComputingNetwork Administrator
CertificationsITIL, CISSP, CompTIA Server+CompTIA Network+, Cisco CCNA
Work EnvironmentLarge enterprise data centers, cloud environmentsCorporate networks, local and wide area networks
Industry UsageIT departments across various industriesOrganizations managing internal networks
Job FocusManaging enterprise-wide IT infrastructure and systemsConfiguring, maintaining, and troubleshooting network hardware and software

Enterprise Computing professionals focus on managing large-scale IT infrastructure, including servers, cloud services, and enterprise applications. Network Administrators primarily handle network setup, security, and maintenance within organizations. While both roles require networking knowledge, Enterprise Computing involves broader system management, making it suitable for those interested in enterprise-wide solutions.

What does enterprise computing mean?

Enterprise computing refers to the use of large-scale information technology systems and infrastructure to support the operations of organizations. It involves managing servers, networks, databases, and applications to ensure efficient business processes, often requiring skills in system administration, cybersecurity, and cloud platforms.

What is an example of enterprise computing?

Enterprise computing involves large-scale IT systems used by organizations to manage data, applications, and services across multiple departments. An example includes deploying enterprise resource planning (ERP) systems like SAP or Oracle, which integrate core business processes and require specialized skills in system administration and network management.

What are popular job titles related to Enterprise Computing jobs in California?

For Enterprise Computing jobs in California, the most frequently searched job titles are:

What job categories do people searching Enterprise Computing jobs in California look for?

The top searched job categories for Enterprise Computing jobs in California are:

Enterprise Computing jobs near you
Infographic showing various Enterprise Computing job openings in California as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $113,821 per year, or $54.7 per hour.

Senior HPC Architect, Automation and At-Scale Deployment

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 3 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!
We are looking for an outstanding hands-on architect/engineer for a Senior HPC architect role to support deployment and bringup of large-scale GPU compute clusters. Be a key player to enable the most exciting computing hardware and software and contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on and implement at-scale system administration and tuning mechanisms for large-scale compute runs. You will work with the latest accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.
What you'll be doing:
  • Provide engineering solutions to operationalize the latest GPU Computing products and software stacks, ensure technical relationships with internal and external engineering teams, and assisting systems, machine learning/deep learning engineers in building creative solutions based on NVIDIA technology.
  • Be an internal reference for system administration, at-scale system analysis, and other datacenter and large-scale GPU-accelerated system solutions among the NVIDIA technical community.

What we need to see:
  • 8+ years of experience using in accelerated computing for datacenter/HPC-based Enterprise computing solutions.
  • Solid understanding of accelerated computing scheduling and I/O stacks.
  • C/C++/Python/Bash programming/scripting experience.
  • Experience working with engineering or academic research community supporting high performance computing or deep learning.
  • Experience with parallel filesystems.
  • Strong teamwork and communication skills, both verbal and written.
  • Ability to multitask effectively in a dynamic environment.
  • Action driven with strong analytical skills.
  • Desire to be involved in multiple diverse and innovative projects.
  • BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science. MS or PhD desirable.

Ways to stand out from the crowd:
  • Deep Learning framework skills.
  • Exposure to using and deploying telemetry and visualization pipelines
  • Exposure to container technology and Linux performance tools.

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/ We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 9, 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

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