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Network Automation Engineer Intern Jobs in Berkeley, CA

Senior Automation Engineer

South San Francisco, CA · On-site

$173K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Senior Automation Engineer, you will collaborate with scientists, software engineers, and ... Access to a free commuter bus network that provides transport to and from our South San Francisco ...

Sr Network Engineer

San Mateo, CA

$118K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Automation & Orchestration: Drive network automation initiatives using Python/Ansible and network ... Mentor junior engineers, share troubleshooting/design best practices, and lead technical ...

Sr Network Engineer

San Mateo, CA · On-site

$118K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Automation & Orchestration: Drive network automation initiatives using Python/Ansible and network ... Mentor junior engineers, share troubleshooting/design best practices, and lead technical ...

... automation tools and systems, including configuration, provisioning, monitoring, alarming, auto ... engineering, network infrastructure engineering, or a related field within large-scale distributed ...

Network Engineer II

San Francisco, CA · On-site

$140K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Evolver is seeking a skilled Network Engineer who has transitioned into network automation ... Design and build automation that performs network software upgrades, configuration changes ...

Showing results 41-60

Network Automation Engineer Intern information

See Berkeley, CA salary details

$13

$23

$36

How much do network automation engineer intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for network automation engineer intern in Berkeley, CA is $23.65, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.62 per hour, depending on experience, location, and employer.

What does a network automation engineer intern do?

A Network Automation Engineer Intern assists with automating network operations and processes using programming and scripting languages. Their responsibilities often include writing scripts to configure network devices, testing automation solutions, and working alongside senior engineers to optimize network performance. Interns also learn about network protocols, monitoring tools, and best practices in network security. The role offers hands-on experience in both networking and software development, preparing interns for advanced roles in network engineering.

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

To thrive as a Network Automation Engineer Intern, you need a solid understanding of networking fundamentals, scripting languages (such as Python), and progress toward a degree in computer science or a related field. Familiarity with automation tools like Ansible, REST APIs, and version control systems such as Git is typically expected. Strong analytical thinking, a collaborative mindset, and effective communication skills help interns excel in dynamic team environments. These skills and qualities are crucial for efficiently automating network tasks, troubleshooting issues, and contributing to modern, scalable network infrastructures.

What types of projects and technologies can a network automation engineer intern expect to work with during their internship?

As a Network Automation Engineer Intern, you will typically assist with automating network configurations, troubleshooting, and monitoring tasks using tools like Python, Ansible, and network simulation platforms. Interns often collaborate with senior engineers to develop or improve scripts that streamline network operations and enhance reliability. You may also participate in team meetings to discuss automation strategies and gain exposure to real-world networking environments, which is invaluable for building hands-on experience and understanding industry best practices.

What is the difference between Network Automation Engineer Intern vs Network Engineer Intern?

AspectNetwork Automation Engineer InternNetwork Engineer Intern
Required CredentialsBasic networking certifications (e.g., Cisco CCNA), familiarity with automation toolsBasic networking knowledge, certifications like CCNA or CompTIA Network+
Work EnvironmentFocus on automation scripting, network management, and troubleshootingNetwork setup, configuration, and maintenance tasks
Industry UsageUsed in companies emphasizing network automation and SDNCommon in traditional network infrastructure roles
Search & Comparison IntentInterested in automation-focused networking rolesLooking for general network internship opportunities

The main difference between a Network Automation Engineer Intern and a Network Engineer Intern lies in their focus. The automation intern emphasizes scripting, automation tools, and network management, while the network intern concentrates on configuring and maintaining network hardware. Both roles require foundational networking knowledge, but the automation role leans more towards programming and automation technologies.

What are popular job titles related to Network Automation Engineer Intern jobs in Berkeley, CA? For Network Automation Engineer Intern jobs in Berkeley, CA, the most frequently searched job titles are:
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What cities near Berkeley, CA are hiring for Network Automation Engineer Intern jobs? Cities near Berkeley, CA with the most Network Automation Engineer Intern job openings:

Network Engineer, Engineering R&D Environments

Meta

Menlo Park, CA

$135K/yr

Full-time

Re-posted 12 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 243 rated software companies


Job description

Meta's Lab Infrastructure, Network, Compliance, and Security (LINCS) team is seeking a network engineer to help build and scale the network infrastructure supporting Meta's global engineering labs. Our team is responsible for network design, deployment, and operations for Meta's global engineering labs where we support multiple engineering teams. With the importance of rapidly maturing new technologies like the Metaverse and Gen AI, there are significant opportunities to re-think traditional networking and iterate quickly in our environment. This role offers an opportunity to work directly with engineering teams that are maturing new hardware and software on the path to production.
Network Engineer, Engineering R&D Environments Responsibilities:
  • Own end-to-end frontend and backend network design, deployment, and operations for AI and compute lab clusters
  • Serve as a primary networking point of contact for backend fabrics, including Arista- and internally developed network OS-based scale-out networks supporting AI workloads
  • Design, deploy, and support high-throughput, low-latency cluster networking, including congestion management (PFC/ECN), RDMA validation, and lossless transport
  • Perform hands-on troubleshooting and root-cause analysis across L1–L4 using packet captures, telemetry, and vendor tools to resolve complex lab issues
  • Support silicon, hardware, and software bring-ups, ensuring reliable connectivity and on-time validation
  • Lead and execute lab network lifecycle activities, including upgrades, migrations, capacity expansions, and decommissioning across regions
  • Develop and maintain network automation, configuration templates, and zero-touch provisioning (ZTP) workflows
  • Create and maintain MOPs, runbooks, and readiness checklists for internal teams and vendor executions
  • Provide direct consultation and training to cross-functional partners, enabling teams to operate and troubleshoot lab networks
  • End-to-end ownership of projects from requirements definition through customer handoff
  • Collaborate closely with hardware, software, systems, and lab operations teams to validate new platforms, optics, and network designs
  • Support limited travel (about 10%) for critical lab builds, migrations, or escalations

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
  • 6+ years of experience designing, deploying, and operating network infrastructure in production or lab environments
  • Experience working in multi-vendor environments, including Arista, FBOSS-based platforms, and lab networking hardware
  • Experience with configuration management, code repositories, and zero-touch provisioning (ZTP) for network infrastructure
  • Experience with IPv4/IPv6, L2/L3 protocols, including STP, OSPF, BGP, TCP/IP, DHCP, DNS, VLANs, VRRP, LACP, MC-LAG, ACLs, MACsec, and EVPN/VXLAN
  • Working knowledge of scripting or programming languages (e.g., Python, shell) for automation and tooling
  • Demonstrated experience to operate consistently while working under your own initiative, seeking feedback and input where appropriate in a global, time-critical environment, managing multiple priorities and mission-critical timelines

Preferred Qualifications:
  • Understanding of physical infrastructure design, including structured cabling, space, power, and cooling systems
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
  • Networking L1 expertise in validating multi-vendor optics, with proficiency using the BCM shell and I2C utilities to troubleshoot hardware-level issues
  • Experience with network automation, CI/CD pipelines, audit frameworks, and validation tooling
  • Hands-on experience with backend cluster networking, including scale-out fabrics, RDMA networks, and congestion management
  • Experience supporting AI/ML or high-performance compute clusters in lab or pre-production environments
  • Hands-on experience with lab test equipment, optics qualification (e.g., 400G/800G), optical switches and physical infrastructure
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Hold networking certifications such as CCIE, JNCIE or equivalent
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Hands-on experience with disaggregated networking products and software, such as Meta's open network OS (FBOSS), SONiC, Cumulus Linux, or equivalent open networking platforms

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$135,000/year to $191,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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