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L1 Network Engineer Jobs in California (NOW HIRING)

Redolent, Inc.

US_West | Data Engineer_L3

Anaheim, CA · On-site

... network, knowledge of RAN layers - L2 & L3 and L1-L2 interface, O-RAN FH interface awareness mainly WG4. Knowledge of End to end call flows at high level • MUST - Prior Working level /testing ...

Service Global, Inc

Desktop Engineer L1

Irvine, CA · On-site

$22 - $23/hr

Proven work experience as a Desktop Support Engineer, Technical Support Engineer or similar role ... Good knowledge of basic networking and troubleshooting tools like nslookup, traceroute, ping, and ...

The Walt Disney Company

Software Engineer II

Glendale, CA

$103K - $141K/yr

This includes Disney's media supply chain and storage, network and theatrical distribution ... Provide technical guidance, mentoring, and KT to L1/L2 engineers * Participate in client calls ...

Arista Networks

Software L1 Test Engineer

Santa Clara, CA · On-site

$110K - $185K/yr

This role demands a strong and broad networking background with a good understanding of Ethernet ... Software Test Engineers. Qualifications * BS CE/EE plus 1 year of experience or MS. * Strong ...

Arista Networks

Software L1 Test Engineer

Santa Clara, CA · On-site

$110K - $185K/yr

This role demands a strong and broad networking background with a good understanding of Ethernet ... Software Test Engineers. Qualifications * BS CE/EE plus 1 year of experience or MS. * Strong ...

Nvidia

Senior Software Engineer, AI Networking

Santa Clara, CA · On-site

$143K - $189K/yr

We are seeking an outstanding Software Engineer to join our US-based networking software team. As a ... L1-L4 fundamentals, and performance/latency tradeoffs. * Proven low-level software expertise with ...

Nvidia

Senior Software Engineer, AI Networking

Santa Clara, CA · On-site

$143K - $189K/yr

We are seeking an outstanding Software Engineer to join our US-based networking software team. As a ... L1-L4 fundamentals, and performance/latency tradeoffs. * Proven low-level software expertise with ...

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Showing results 21-40

All JobsL1 Network Engineer JobsL1 Network Engineer Jobs in California

L1 Network Engineer information

See California salary details

$30.6K

$107.6K

$155.9K

How much do l1 network engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for l1 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 an L1 network engineer?

An L1 Network Engineer is an entry-level IT professional responsible for monitoring, troubleshooting, and maintaining an organization's network infrastructure. They handle basic network issues, escalate complex problems to higher-level engineers, and ensure smooth network operations. Their tasks include diagnosing connectivity problems, configuring network devices, and assisting end-users. Strong problem-solving skills and a basic understanding of networking protocols are essential for this role.

What does an L1 network engineer do?

A typical day for an L1 Network Engineer involves monitoring network performance, responding to user-reported issues via a ticketing system, and performing initial troubleshooting steps to resolve connectivity or performance problems. You’ll frequently interact with both end-users and more senior network team members to escalate complex issues as needed. The role may also involve routine maintenance tasks, documenting incidents, and assisting with hardware setups or basic configuration changes. Working in a collaborative IT environment, L1 Network Engineers play a vital part in maintaining network reliability and helping other IT staff ensure seamless operations.

What skills and qualifications are needed to thrive as an L1 network engineer?

To thrive as an L1 Network Engineer, you need a solid understanding of basic networking concepts, troubleshooting skills, and a relevant degree or equivalent experience. Familiarity with network monitoring tools, ticketing systems, and fundamental certifications such as CompTIA Network+ or Cisco CCNA is highly beneficial. Strong communication skills, attention to detail, and a customer-focused attitude are valuable soft skills for this role. These capabilities ensure efficient diagnosis and resolution of network issues, minimize downtime, and support effective teamwork in dynamic IT environments.

What are popular job titles related to L1 Network Engineer jobs in California?

For L1 Network Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching L1 Network Engineer jobs in California look for?

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L1 Network Engineer jobs near you
Infographic showing various L1 Network Engineer job openings in California as of September 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $107,612 per year, or $51.7 per hour.

AI, HPC & GPU Infrastructure Support Engineer

Vast.ai Inc

Los Angeles, CA • On-site

$90K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago

Job description

About Us
Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing - reshaping our future for the benefit of humanity. Our mission is to organize, optimize, and orient the world's computation.
We value elegance, ownership, integrity, and continuous learning. You'll have the opportunity to dive into state-of-the-art AI systems while collaborating with a globally distributed team.
About the Role
This role focuses on troubleshooting complex Linux and GPU infrastructure issues across NVIDIA drivers, CUDA, GPU workloads, Ubuntu, Docker, KVM based virtual machines, networking, hardware, BIOS, and firmware. You'll investigate failures, reproduce issues, identify root causes, and propose practical solutions across the full infrastructure stack.
You'll also serve as the engineering resource our L1 support team relies on when tickets go beyond frontline triage. You'll own complex escalations end-to-end, gather technical evidence, coordinate with the appropriate teams, and communicate findings clearly to clients, infrastructure suppliers, and internal teams.
The best engineers in this role don't just resolve individual issues-they recognize recurring patterns, improve diagnostic tooling, and build runbooks that prevent future incidents. You'll collaborate directly with the engineering and host support teams on systemic Linux, GPU, and infrastructure problems.
Strong GPU troubleshooting experience, Linux systems knowledge, and technical support skills are the primary requirements. You should be comfortable working autonomously in Ubuntu environments and troubleshooting NVIDIA drivers, CUDA, containers, virtual machines, networking, hardware, and GPU workloads.
Vast.ai users or hosts strongly preferred.
Location and Schedule
This is a full-time position based in our Westwood, Los Angeles office.
Available schedules:
  • Monday-Friday: Fully on-site
  • Sunday-Thursday: Four days on-site and one day working from home

Key Responsibilities
  • Diagnose and resolve issues across NVIDIA CUDA/GPU drivers, Docker, and KVM virtualization environments
  • Investigate GPU utilization, container resource constraints, thermal throttling, driver conflicts, and disk I/O bottlenecks
  • Assist clients and infrastructure suppliers working with TensorFlow, PyTorch, and other GPU-accelerated workloads
  • Troubleshoot network-layer issues, including VLAN, DNS, DHCP, VPN, NAT, firewall rules, and connectivity failures on host machines
  • Handle escalated support tickets involving GPU workload failures, container issues, networking problems, account infrastructure, and host-side configuration
  • Provide managed support for supplier onboarding and ongoing machine management, including installation, configuration, and post setup troubleshooting
  • Advise suppliers on hardware setup, driver configuration, BIOS and firmware settings, and network configuration for optimal performance
  • Provide coverage for L1 support overflow during peak periods or incidents
  • Write and maintain internal runbooks, escalation guides, and knowledge base articles to reduce repeat escalations
  • Build diagnostic and automation tooling in Python and Bash to reduce manual triage overhead
  • Collaborate with the engineering and support teams to flag and document systemic or recurring platform issues

You Are
  • Experienced with Linux, especially Ubuntu, and comfortable troubleshooting from the command line
  • Someone who enjoys debugging difficult problems and fixing broken systems
  • Methodical and focused on finding root causes, not just temporary fixes
  • Able to manage complex tickets independently
  • A clear written communicator with an interest in AI infrastructure and GPU computing

Must-Haves
  • Strong Linux systems operations experience with Ubuntu, RHEL/CentOS, or Debian, including networking, storage, services, and permissions
  • Proficiency with Docker, including container debugging, Docker Compose, image management, cgroup limits, and Docker storage and filesystem troubleshooting
  • Experience with virtualization platforms such as Proxmox VE, VMware, or similar hypervisors, including VM provisioning and troubleshooting
  • Strong networking fundamentals, including VLANs, DNS, DHCP, NAT, VPNs, firewall rules, and L2/L3 troubleshooting
  • Hands-on experience with NVIDIA GPU drivers, CUDA, and GPU workload troubleshooting
  • Python and Bash scripting skills for automation and diagnostic tooling
  • Strong written English communication that is clear, professional, and technically precise
  • Experience providing technical support in a customer-facing or internal help desk environment
  • Ability to prioritize across a concurrent queue of escalated tickets, triaging by severity and customer impact, balancing reactive resolution against proactive documentation and tooling work, and making clear judgment calls on when to escalate versus own resolution end-to-end

Nice-to-Haves
  • Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and running GPU-accelerated containers
  • Monitoring and observability experience (Prometheus, Grafana)
  • Relevant certifications: RHCSA, CompTIA Linux+, or similar
  • Knowledge of the Vast.ai platform as a client or infrastructure supplier
Interview Process (~1 week)
After you submit your application, our technical team will review your experience and qualifications. Selected candidates will proceed through the following stages:
  • 15 minutes - Initial Screening (Virtual): A brief conversation about your background, availability, and interest in the role
  • 45 minutes - Experience Interview (Virtual): An introduction to Vast.ai and a deeper discussion of your technical and support experience
  • 2 hours - Meet and Greet and Technical Assessment (On-site): Meet the team and complete an LLM-assisted Linux systems operations assessment

Annual Salary Range
$90,000 - $160,000 + equity + benefits
Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential.
Benefits
  • Comprehensive health, dental, vision, and life insurance
  • 401(k) with company match
  • Meaningful early-stage equity
  • Onsite meals, snacks, and close collaboration with founders/tech leaders
  • Ambitious, fast-paced startup culture where initiative is rewarded

Apply