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Enterprise Computing Jobs in California (NOW HIRING)

... enterprise computing environments, including physical and virtual servers, cloud-based instances, storage systems, backup platforms, and related infrastructure components. 5. At least ten (10) years ...

System Engineer

San Jose, CA · On-site

$90K - $110K/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 ...

Responsibilities : • Define and develop application benchmarks based on enterprise computing requirements, generic server architecture, hardware key components, examples include Intel/AMD/Nvidia ...

Sr. System Engineer

San Jose, CA · On-site

$137K - $156K/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 ...

Sr. System Engineer

San Jose, CA · On-site

$137K - $156K/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 ...

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Enterprise Computing information

See California salary details

$44.4K

$113.8K

$170.2K

How much do enterprise computing jobs pay per year?

As of Aug 7, 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 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 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 do you do in enterprise computing?

In enterprise computing, professionals design, implement, and manage large-scale IT systems that support business operations. They work with servers, networks, cloud services, and security protocols to ensure reliable and efficient technology infrastructure. Skills in system administration, virtualization, and certifications like Cisco or Microsoft are often required.

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 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.

How does enterprise computing work?

Enterprise computing involves the use of large-scale information systems to support organizational operations, data management, and business processes. It typically includes servers, data centers, networking infrastructure, and enterprise software, with IT professionals managing hardware, software, security, and system integration to ensure reliable and efficient performance.
Infographic showing various Enterprise Computing job openings in California as of August 2026, with employment types broken down into 89% Full Time, 3% Part Time, and 8% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $113,821 per year, or $54.7 per hour.

Senior Product Manager, NVIDIA Mission Control

NVIDIA

Santa Clara, CA • On-site

$148K - $196K/yr

Full-time

Re-posted 5 days 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 is the defining technology company of the Artificial Intelligence era, seeking a deeply technical Product Manager to shape the enterprise software stack for next-generation AI factories. The role involves owning the complete solution lifecycle for NVIDIA Mission Control software stack and driving adoption of NVIDIA technologies in the enterprise market.
Responsibilities:
• Understand NVIDIA’s strategic position and deliver an enterprise computing platform recognized as the best in the industry.
• Own the complete solution lifecycle—from solution definition through development and go-to-market—for NVIDIA Mission Control software stack to drive adoption of the NVIDIA technologies in Enterprise market.
• Leverage strong technical background to define product requirements and user stories for solutions by channeling customer needs, solution-architecture feedback, and cross-team input within NVIDIA.
• Establish a shared vision across the company by building consensus on connectors and integration points, priorities, and other key initiatives leading to successful execution.
• Proactively identify, document, and track critical bugs and feature requests, monitoring resolution through internal tools to maintain product velocity and reliability.
• Define success metrics that measure and improve product and solutions adoption, ecosystem growth, and DGX software performance; use these metrics to communicate progress clearly across the organization.
• Develop effective marketing and sales collateral—including whitepapers, reference architectures, ISV joint-solution briefs, and tools—to accelerate customer adoption and scale the impact of DGX products.
Qualifications:
Required:
• Deep knowledge of K8s technologies, and an understanding of compute architecture or networking stack.
• Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor.
• A strong desire to learn, problem-solving skills, and a proven ability to make sophisticated trade-offs.
• 8+ years of total experience in technology with product management or engineering experience on high-tech, cloud, AI/ML, technologies.
• BS or MS in engineering, computer science, or another technical field (or equivalent experience). Recent MBA is a plus.
Preferred:
• In-depth knowledge of deep learning workflows, experience in Gen AI, LLMs.
• Experience in building 0-1 products.
• Recent experience in key data center technologies such as, software containers, job schedulers and parallel computing.
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