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Production Network Engineer Jobs in California (NOW HIRING)

Gimlet Labs

Network Engineer

San Francisco, CA · On-site

$250K - $320K/yr

Customers deploy through production-grade APIs without needing to think about hardware selection ... About this Role Gimlet Labs is seeking a Network Engineer to design, build, and scale the network ...

Roblox

Principal Network Engineer

San Mateo, CA · On-site

$295K - $345K/yr

As a Principal Network Engineer, you will work cross-functionally to plan the growth of Roblox's global production network to support rapid user growth. In this role, you are responsible for ...

Faraday Future

Senior Network Engineer

Los Angeles, CA · Hybrid

$112K - $153K/yr

Ensure resilient, high-availability connectivity for production-critical and R&D systems. * Compute ... As a senior engineer, lead network design reviews and key technical decisions, mentor junior ...

Roblox

Principal Network Engineer

San Mateo, CA · On-site

$295K - $345K/yr

As a Principal Network Engineer, you will work cross-functionally to plan the growth of Roblox's global production network to support rapid user growth. In this role, you are responsible for ...

Faraday Future

Senior Network Engineer

El Segundo, CA · Hybrid

$110K - $151K/yr

Ensure resilient, high-availability connectivity for production-critical and R&D systems. * Compute ... As a senior engineer, lead network design reviews and key technical decisions, mentor junior ...

Meta

Network Production Engineer

Menlo Park, CA

$154K/yr

As a Production Engineer in the network organization at Meta, you will combine the skills of a software and network engineer. You will use data analysis to influence design decisions and leverage ...

Synopsys, Inc.

Network Engineer, Sr Staff

Sunnyvale, CA · On-site

$123K - $169K/yr

Deploy, configure, and troubleshoot production network infrastructure using Cisco, Aruba, Versa ... Mentor network engineers and cross-functional IT teams, sharing knowledge on complex protocols ...

Goldstone Partners, Inc.

Network Engineer

Sunnyvale, CA · On-site

$120K - $150K/yr

Through a wide array of professional services and products, we help our customers leverage ... Security, Reliability, Precision As a Network Engineer supporting RTL Networks' Combined Orbital ...

Strategic Employment

Senior Network Engineer

Buena Park, CA · On-site

$107K - $146K/yr

Desired Skills • 5+ years of experience supporting network operations or production network ... mentor junior engineers, and communicate effectively with technical teams and external partners ...

Meta

Production Engineer, Network

Menlo Park, CA

$154K/yr

Meta is seeking a Production Engineer with in-depth understanding of networking, systems, automation, and tooling to join the PE Network team. This team is responsible for deploying and managing one ...

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Showing results 21-40

All JobsProduction Network Engineer JobsProduction Network Engineer Jobs in California

Production Network Engineer information

See California salary details

$30.6K

$107.6K

$155.9K

How much do production network engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for production network engineer in California is $107,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $131,800.00 per year, depending on experience, location, and employer.

What is a production network engineer?

Production Network Engineers are IT professionals responsible for designing, implementing, managing, and troubleshooting the computer networks that support an organization's production systems and services. They ensure that networks operate efficiently, securely, and with minimal downtime to support critical business operations. Their role often involves monitoring network performance, responding to incidents, and collaborating with other engineering teams to optimize and scale network infrastructure.

How does a production network engineer typically collaborate with other IT teams to ensure network reliability?

Production Network Engineers work closely with teams such as system administrators, security engineers, and application developers to ensure continuous network uptime and performance. They regularly participate in cross-functional meetings to coordinate planned maintenance, troubleshoot incidents, and implement new solutions. Effective communication and documentation are essential, as network changes often impact other departments. This collaborative environment helps quickly identify and resolve issues, contributing to overall business continuity.

What are the key skills and qualifications needed to thrive as a production network engineer, and why are they important?

To thrive as a Production Network Engineer, you need deep knowledge of networking protocols, troubleshooting, and infrastructure design, often backed by a degree in computer science or a related field and industry certifications like CCNP or CCIE. Expertise in tools such as Cisco IOS, Juniper Junos, network monitoring systems, and automation platforms like Ansible or Python scripting is typically required. Strong analytical thinking, attention to detail, and effective communication help professionals excel in diagnosing issues and collaborating with cross-functional teams. These skills are crucial for maintaining high-availability, secure, and efficient network operations in demanding production environments.

What does a production network engineer do?

A production network engineer is responsible for designing, implementing, and maintaining the network infrastructure that supports an organization’s daily operations. They monitor network performance, troubleshoot issues, and ensure security and reliability using tools like routers, switches, and firewalls. This role often requires knowledge of networking protocols, certifications such as CCNA or CCNP, and the ability to work in a fast-paced environment to minimize downtime.

What cities in California are hiring for Production Network Engineer jobs?

Cities in California with the most Production Network Engineer job openings:

Production Network Engineer jobs near you
Infographic showing various Production Network Engineer job openings in California as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 2% Contract, and 2% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $107,612 per year, or $51.7 per hour.

Network Engineer

Gimlet Labs

San Francisco, CA • On-site

$250K - $320K/yr

Full-time

Re-posted 19 days ago

Job description

About Us
Gimlet is building the first multi-silicon neocloud designed for fast, efficient inference.
As AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together.
Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.
We work with foundation labs, hyperscalers, and AI-native companies to power production workloads at massive scale and help define the infrastructure layer for the future of AI. This gives our team access to systems research problems grounded in frontier models, cutting-edge production workloads, and emerging hardware architectures.
About this Role
Gimlet Labs is seeking a Network Engineer to design, build, and scale the network infrastructure powering production-scale AI and distributed systems for frontier labs, hyperscalers, and other high-performance compute environments.
This is an opportunity to build the network foundation for systems serving real production traffic at massive scale, while also shaping the network architecture for the next generation of AI datacenters. You will help determine how future high-performance compute environments are designed, deployed, interconnected, and operated.
The ideal candidate has deep technical knowledge of modern data center networking and is comfortable operating across physical infrastructure, network architecture, deployment workflows, and operational troubleshooting. We are looking for someone who can operate independently, drive infrastructure improvements, and help build scalable networking foundations for high-performance compute and AI workloads.
What you will work on
  • Design, deploy, and scale datacenter network infrastructure supporting AI workloads, distributed systems, and high-performance compute environments.
  • Lead network provisioning, device configuration, connectivity validation, deployment testing, and production turn-up activities for new infrastructure builds and hardware expansions.
  • Build and maintain scalable network topology designs, IPAM, deployment standards, operational documentation, and infrastructure readiness processes.
  • Troubleshoot complex networking, routing, hardware, connectivity, and performance issues across physical infrastructure and distributed systems environments.
  • Partner closely with infrastructure, systems, deployment, and operations teams to improve network reliability, deployment velocity, operational readiness, and infrastructure scalability.
  • Drive automation and operational improvements across provisioning, configuration management, monitoring, deployment validation, and incident response workflows.

You may be a good fit if
  • Have experience designing, deploying, and operating production network infrastructure.
  • Have strong networking fundamentals across routing, switching, connectivity, performance, and reliability.
  • Have worked with spine-leaf or Clos fabrics, backbone or WAN networks, ECMP, BGP, EVPN, VXLAN, and routing policies.
  • Understand high-performance AI/HPC networking concepts such as RoCEv2, InfiniBand, lossless Ethernet, QoS, DSCP, queuing, shaping, LAGs, optical transport, DWDM, coherent optics, and traffic engineering.
  • Can troubleshoot complex issues across hardware, software, network, and distributed systems boundaries.
  • Enjoy building systems, automating workflows, and improving operational processes.
  • Work well across engineering, infrastructure, deployment, and operations teams.
  • Take ownership end-to-end and operate effectively in ambiguous, fast-moving environments.
Strong candidates may also have
  • Experience with AI/HPC, GPU, or large-scale distributed infrastructure.
  • Knowledge of AI application traffic patterns, including collective operations and workload colocation strategies that optimize network performance.
  • Experience with cloud networking on GCP, AWS, Azure, or similar platforms.
  • Experience with Arista, Cisco, Juniper, or NVIDIA networking platforms, as well as Palo Alto Networks PAN-OS.
  • Experience with network automation using Python, Ansible, Terraform, or similar tooling.
  • Familiarity with RDMA, RoCE, InfiniBand, or other high-performance networking environments.

Why join now?
Gimlet is at the very beginning of its journey, and that's what makes this moment special. Most AI infrastructure companies are focused on deploying more compute. We are focused on making increasingly diverse compute work together, and that ambition touches every part of how we build and run this company.
As an early member of the team, you will have significant ownership over your work, partner directly with a small group of highly capable people, and help shape not just what we build, but how we scale the company.
We value people who are excited to work across domains, take ownership of meaningful problems, and help define what Gimlet becomes over the next several years.
Agency Policy: Gimlet Labs does not accept unsolicited resumes from recruitment agencies or search firms. Any unsolicited resumes submitted without a signed agreement will be considered the property of Gimlet Labs, and no fees will be paid.

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