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Network Ai Jobs (NOW HIRING)

Google

Networking AI Technical Lead

Cambridge, MA · On-site

They are seeking a Networking AI Technical Lead to provide technical leadership on high-impact projects, influence and coach a distributed team of engineers, and manage project priorities and ...

Lightning AI

Network Security Engineer

San Francisco, CA · Hybrid

$123K - $168K/yr

What We're Looking For We're looking for a Network Security Engineer to design, implement, and maintain secure network infrastructure across Lightning AI's platform. In this role, you'll take ...

xAI

Network Engineer - AI/HPC

Palo Alto, CA

Deep understanding of AI training and inference workloads and how they operate on the network. As part of this you are able to use and debug NCCL and potentially commit to the library. * Expertise in ...

xAI

Network Engineer - AI/HPC

Memphis, TN · On-site

Deep understanding of AI training and inference workloads and how they operate on the network. As part of this you are able to use and debug NCCL and potentially commit to the library. * Expertise in ...

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$22K

$106.6K

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How much do network ai jobs pay per year?

As of Jun 10, 2026, the average yearly pay for network ai in the United States is $106,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Network Ai position, and why are they important?

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 a Network AI job?

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 are the typical projects or responsibilities of a Network AI professional?

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.

More about Network Ai jobs
What cities are hiring for Network Ai jobs? Cities with the most Network Ai job openings:
What are the most commonly searched types of Network Ai jobs? The most popular types of Network Ai jobs are:
What states have the most Network Ai jobs? States with the most job openings for Network Ai jobs include:
What job categories do people searching Network Ai jobs look for? The top searched job categories for Network Ai jobs are:
Network Ai jobs near you
Infographic showing various Network Ai job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $106,570 per year, or $51.2 per hour.

Networking AI Technical Lead

Google

Cambridge, MA • On-site

Full-time

Posted 11 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

32nd of 188 rated software companies

Job description

Job Summary:
Google is a leading technology company that develops next-generation technologies to connect billions of users. They are seeking a Networking AI Technical Lead to provide technical leadership on high-impact projects, influence and coach a distributed team of engineers, and manage project priorities and deliverables.
Responsibilities:
• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance large scale software solutions.
Qualifications:
Required:
• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.
Preferred:
• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 2 years of experience building AI/agentic products, or infrastructure to serve those products, and understanding the trade-offs and challenges necessary in making AI and agentic workloads a success.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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