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Computer Networking Internship Jobs in California

Senior Flight Software Engineer

El Segundo, CA ยท On-site

$169K - $217K/yr

Strong understanding of computer architecture, operating system concepts, and computer networking ... Unlimited PTO (interns excluded) * Health insurance, including Vision and Dental * Lunch and snacks ...

... computer network with more than 8,000 miles of optical fiber. The network serves over 20 million ... Interns must be available to work during standard business hours, Monday through Friday, between 8 ...

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Computer Networking Internship information

See California salary details

$9

$17

$25

How much do computer networking internship jobs pay per hour?

As of May 30, 2026, the average hourly pay for computer networking internship in California is $17.21, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What is a Computer Networking Internship job?

A Computer Networking Internship is a temporary position that provides hands-on experience in maintaining, troubleshooting, and configuring network systems. Interns often assist with network security, hardware setup, and software updates under the supervision of IT professionals. This role helps students or entry-level candidates gain practical knowledge of networking protocols, infrastructure, and troubleshooting techniques. It is an opportunity to develop technical skills, work with real-world networking environments, and prepare for a career in IT or network administration.

What are the key skills and qualifications needed to thrive in the Computer Networking Internship position, and why are they important?

To thrive as a Computer Networking Intern, you typically need a foundational understanding of networking concepts, protocols, and hardware, often gained through coursework in computer science or information technology. Familiarity with tools like Wireshark, basic command-line utilities, and certifications such as CompTIA Network+ can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help interns excel when troubleshooting and collaborating with IT teams. These abilities are crucial for successfully supporting network operations and gaining hands-on experience in a professional environment.

What kinds of projects or tasks do Computer Networking Interns usually work on during their internship?

As a Computer Networking Intern, you may assist with setting up and configuring network equipment, monitoring and documenting network performance, and troubleshooting connectivity issues. Interns often support senior network engineers during upgrades or maintenance, and may help with implementing security measures or performing routine system checks. Many internships also include exposure to real-world projects, such as deploying new hardware or optimizing existing network infrastructure. This hands-on experience gives you valuable insight into daily operations and helps build skills for a future career in IT or network administration.
What are the most commonly searched types of Computer Networking jobs in California? The most popular types of Computer Networking jobs in California are:
What cities in California are hiring for Computer Networking Internship jobs? Cities in California with the most Computer Networking Internship job openings:
Infographic showing various Computer Networking Internship job openings in California as of May 2026, with employment types broken down into 1% Internship, 85% Full Time, and 14% Part Time. Highlights an 43% Physical, 5% Hybrid, and 52% Remote job distribution, with an average salary of $35,790 per year, or $17.2 per hour.
AI Operations Internship - Manufacturing Systems

AI Operations Internship - Manufacturing Systems

Power Integrations

San Jose, CA โ€ข On-site

$32 - $34/hr

Internship

Posted 22 days ago


Job description

Description
AI Operations Internship - Manufacturing Systems (2-Month Term)
1) Internship Summary
We are offering an AI Operations Internship focused on rapidly advancing practical AI enablement within our manufacturing and test environments. The intern will join an active working team inside Operations, contributing to hands-on initiatives that improve visibility, data readiness, and system connectivity at the factory floor level.
This role is designed to deliver real, usable building blocks for AI-driven manufacturing-not long-term research. The intern's work will help move AI initiatives from concept toward deployment by improving equipment connectivity, traceability foundations, and data flow into manufacturing systems.
2) Responsibilities
  • Work across Test Engineering and Product Engineering, with regular interaction with manufacturing operations.
  • Report directly to the Principal Test Engineer in charge of Test Engineer Services as well as guidance from a Sr. Product Engineer.
  • Focus on data connectivity, basic analytics enablement, and system groundwork, using AI-assisted coding tools to rapidly prototype, automate, and iterate.

  • Document assumptions, interfaces, and lessons learned to support follow-on work after the internship concludes.

3) Key Deliverables
Within the limited internship timeframe, the intern will deliver the following well-bounded, achievable outputs:
  • Test Handler Connectivity & Visibility
    • Assist in networking ATE handlers and related equipment to enable basic data capture and visibility of test output and utilization as well as error codes.
    • Support simple data views or summaries to illustrate opportunities for throughput optimization.
  • Predictive Maintenance Groundwork
    • Help identify and organize available equipment signals and maintenance logs.
    • Prepare cleaned datasets or dashboards that could later support predictive maintenance efforts (no fault correlation or modeling required).
  • Die-Level Traceability Foundations
  • Research and support early concepts for die-level traceability, including evaluating camera retrofit options on test handlers for 2-D barcode capture and understanding how this capability would fit within the existing handler architecture.
  • Help validate image capture workflows for 2-D barcodes that provide full die-level traceability within packages, and assist in defining how this traceability information can be uploaded into YMS (Yield Management System).

Qualifications & Requirements
Required Skills:
  • Basic programming ability (e.g., Python, MATLAB, or similar) for scripting, data handling, and prototyping
  • Familiarity with data handling and basic analytics (CSV/JSON files, simple plots, tables, summaries)
  • Ability to work with hardware-adjacent systems (equipment, sensors, test systems) at a conceptual level
  • Comfort using AI-assisted coding tools (e.g., Copilot-style tools, LLMs for code generation and debugging)
  • Strong analytical thinking and ability to document system assumptions and data flows clearly

Preferred Skills:
  • Hands-on experience with hardware projects, such as senior design, robotics, or lab work involving sensors, cameras, or physical system modifications
  • Exposure to mounting or retrofitting hardware components (e.g., cameras, fixtures, brackets) and working within mechanical constraints
  • Experience interfacing hardware with software using USB, Ethernet, serial, or basic I/O connections
  • Familiarity with camera setup for reliable image capture (field of view, focus, lighting, triggering), without requiring computer vision or barcode decoding expertise
  • Experience with data logging or lab instrumentation, including adding metadata to logs or associating data across systems
  • Comfort working in hands-on, iterative environments where documentation may be incomplete and practical problem-solving is required

Education Level:
3 or 4 year engineering student with clear career objectives
Fields of Study
  • Electrical Engineering
  • Computer Engineering
  • Computer Science
  • Mechanical Engineering (with automation, controls, or mechatronics focus)
  • Industrial Engineering
  • Robotics or Mechatronics
  • Applied AI or Data Science (systems- or hardware-oriented programs)

Power Integrations is committed to building teams that drive innovation and therefore review a range of factors when determining compensation. The hourly pay range for this internship is $32 to $34. Our pay ranges are determined by role, level, qualifications and work location.
The range displayed on the job posting reflects the minimum and maximum target for this intern in California. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.