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Network Ai Jobs in California (NOW HIRING)

SambaNova

Hyperscale AI Network Architect

San Jose, CA · On-site

$250 - $330/hr

SambaNova in San Jose is looking for a Network Architect to shape the future of AI compute platforms. This role requires extensive experience in architecting networks for next-generation AI workloads ...

Meta

AI/HPC Network Performance Engineer

Menlo Park, CA · On-site

$184K - $257K/yr

Responsibilities Design, develop, test and operate networking systems to support large scale AI training jobs • Research, develop and deploy numerous technologies and network topologies in order to ...

Together AI

Senior Network Engineer

San Francisco, CA · On-site

$122K - $167K/yr

About the Role Together AI is looking for a Senior Network Engineer to design, deploy, and operate the global network infrastructure supporting our production services and high-performance AI compute ...

Together AI

Senior Network Engineer

San Francisco, CA

$122K - $167K/yr

About the Role Together AI is looking for a Senior Network Engineer to design, deploy, and operate the global network infrastructure supporting our production services and high-performance AI compute ...

Lightning AI

Network Security Engineer

San Francisco, CA · On-site

$180K - $220K/yr

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end ... What You'll Do * Network Security Design & Implementation : Architect robust network ...

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All JobsNetwork Ai JobsNetwork Ai Jobs in California

Network Ai information

See California salary details

$21.7K

$105.2K

$160.4K

How much do network ai jobs pay per year?

As of Sep 6, 2026, the average yearly pay for network ai in California is $105,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $126,300.00 per year, depending on experience, location, and employer.

What is a Network AI?

A Network AI job involves developing and optimizing artificial intelligence models to manage, monitor, and enhance computer networks. Professionals in this role work on tasks like network automation, predictive analytics, and anomaly detection using machine learning. They collaborate with network engineers and data scientists to improve performance, security, and efficiency. This field requires expertise in AI, networking protocols, and data analysis tools.

What does a Network AI do?

Network AI professionals are commonly tasked with developing and deploying AI-driven solutions to monitor, secure, and optimize computer networks. This includes leveraging machine learning to detect anomalies or threats, automating network management tasks, and analyzing large datasets to improve network performance. They often work closely with network engineers, security teams, and data scientists to ensure that AI solutions are both effective and secure. The role offers continuous learning opportunities, as professionals must stay updated on the latest advancements in both networking and artificial intelligence.

What are the key skills and qualifications needed to thrive in the Network AI position?

To thrive as a Network AI professional, you typically need a solid background in computer networking, machine learning, and data analysis, often supported by a degree in computer science, information technology, or a related field. Familiarity with networking protocols (such as TCP/IP), AI frameworks (like TensorFlow or PyTorch), and relevant certifications (such as Cisco’s CCNA or CCNP) are highly valuable. Strong analytical thinking, collaboration, and effective problem-solving skills make candidates stand out in this role. These abilities are crucial for implementing intelligent network solutions, optimizing performance, and ensuring seamless integration of AI technologies in complex network environments.

What is the easiest Network Ai job to get into?

Entry-level Network AI roles typically include positions such as network technician or support specialist, which require basic understanding of networking concepts and some familiarity with AI tools. These jobs often require foundational certifications like CompTIA Network+ and minimal prior experience, making them accessible for newcomers to the field.

Which network AI job is high paying?

High-paying network AI jobs typically include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, especially those with expertise in deep learning, neural networks, and large-scale data processing. These positions often require advanced skills, certifications, and experience, and they tend to offer higher salaries due to the specialized knowledge involved.

What are the most commonly searched types of Network Ai jobs in California?

The most popular types of Network Ai jobs in California are:

What are popular job titles related to Network Ai jobs in California?

For Network Ai jobs in California, the most frequently searched job titles are:

What job categories do people searching Network Ai jobs in California look for?

The top searched job categories for Network Ai jobs in California are:

What cities in California are hiring for Network Ai jobs?

Cities in California with the most Network Ai job openings:

Network Ai jobs near you
Infographic showing various Network Ai job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $105,174 per year, or $50.6 per hour.

Principal Engineer, Service Networking AI

Socket.dev

Sunnyvale, CA • On-site

$307 - $427/hr

Other

Posted yesterday

New

Job description

Minimum qualifications:
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
  • 15 years of software engineering experience, building and working with large-scale distributed systems.
  • 5 years of experience delivering networking solutions at hyperscale.
  • 2 years of experience serving ML, AI, or agentic workloads.
Preferred qualifications:
  • Master’s degree in Computer Science or related field.
  • Experience working with AI infrastructure and modeling teams to deliver state of the art networking solutions.
  • Experience with Kubernetes as a platform for large model training or serving.
  • Strategic leadership with experience driving multi-year architectural transitions and technical alignment across large organizations.
  • Recognized industry-wide expertise in Layer 7 protocols, edge networking, traffic management algorithms, and high-capacity secure proxy architectures.
  • Credibility as an engineering leader who develops a structure of other technical leads in the domain.
About the job:

Cloud Networking’s vision is to deliver planet-scale networking for a smart and connected world. Our mission is to seamlessly connect and serve any application, any user, anywhere. Our products include interconnect, security, load balancing, DNS, GKE networking, and so much more.

As Principal Engineer for Service Networking AI, you will serve as the technical leader responsible for designing, driving, and landing the architectural evolution of Google’s service networking stack to best serve novel AI and agentic workloads. You will partner with technical and product leaders within and beyond Cloud Networking to understand the AI and agentic requirements of our customers and redefine what is “best in class” across an ecosystem that includes load balancers, Kubernetes, DNS, Google’s Content Delivery Network, and more. Success will not just enable these new workloads but differentiate Google’s offerings to provide excellent performance, low latency, and improved total cost of ownership.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:
  • Leverage your networking and cloud computing expertise to best serve AI and agentic workloads.
  • Define, drive, and land a multi-year technical outlook and architectural strategy that brings individual networking components together into an overall ecosystem differentiated for AI and agentic serving.
  • Partner with product management and directly with customers to understand customer AI and agentic requirements.
  • Lead software engineers within the service networking organization, ensuring their contributions toward your outlook land on time and with high quality.
  • Act as a premier technical mentor and sponsor, growing the next generation of technical leaders across Google Cloud.
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