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How much do linux internship jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for linux internship in California is $35.20, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $52.49 per hour, depending on experience, location, and employer.

What is a Linux Internship job?

A Linux Internship is a temporary position designed for students or entry-level professionals to gain hands-on experience with Linux operating systems. Interns typically work on tasks such as system administration, scripting, troubleshooting, and configuring Linux-based environments. They may assist with software installation, monitor system performance, and support IT teams in maintaining infrastructure. This role helps interns build practical skills in Linux and related technologies, often serving as a stepping stone to full-time roles in system administration, DevOps, or cybersecurity.

What kind of projects or daily tasks can I expect during a Linux Internship?

As a Linux Intern, you may assist with system administration tasks such as managing user accounts, monitoring system performance, and deploying updates or patches. You might also help automate routine processes with scripting, support troubleshooting efforts, and participate in the configuration of servers or development environments. Many teams encourage interns to contribute to real projects under the mentorship of experienced engineers, offering exposure to collaborative workflows and modern DevOps tools. This hands-on experience is designed to build your technical skills and prepare you for future full-time opportunities.

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

To thrive as a Linux Intern, you need a foundational understanding of Linux operating systems, command-line interface usage, and basic scripting languages such as Bash or Python, often supported by coursework in computer science or information technology. Familiarity with tools like Git, Docker, and basic networking concepts, as well as optional certifications like CompTIA Linux+, can provide a strong technical advantage. Effective communication, eagerness to learn, and problem-solving skills are valuable soft assets in a collaborative environment. These abilities are crucial for quickly adapting to real-world technical challenges and contributing to projects in a professional IT setting.

What are the most commonly searched types of Linux jobs in California? The most popular types of Linux jobs in California are:
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What cities in California are hiring for Linux Internship jobs? Cities in California with the most Linux Internship job openings:
Linux Internship jobs near you

Financial Analyst Internship - Fall 2026

Varda Space Industries

El Segundo, CA

Other

Posted 14 days ago

Job description

About This Role 

Fall internships will range between the months of August and December. All dates dependent upon the university schedule of the selected students. Internships are full-time and on-site in Los Angeles, CA. To be considered for this internship, candidates must be actively enrolled in an accredited undergraduate or graduate degree program. 

Internships at Varda are optimal for students looking to grow technically and professionally while working on impactful projects critical to the company's success. You will be working on a collaborative team in a startup environment while being able to learn from some of most accomplished and experienced aerospace professionals in the world. We're dedicated to providing an experience that will let your decisions and contributions help drive Varda's success. 

As a part of the finance team you will collaborate with the team to develop data structures and enhance system capabilities for advanced analytics and dashboard creation. Utilize AI, Machine Learning, and LLMs to deliver business insights to executive leadership.

Responsibilities
  • Build data structure to support Business and Finance KPIs
  • Publish Dashboards to automate reporting
  • Review existing systems/tools and enhance reporting mechanisms
  • Enable Machine Learning to evolve automation
Basic Qualifications
  • Education: Currently enrolled in an undergraduate or postgraduate program, majoring in Computer Science or Computer Engineering. Preference for college juniors/rising seniors.
  • Programming Skills: Proficiency in Python, R, Java, Linux, C++, or VMWare.
  • AI/ML Knowledge: Strong understanding of Large Language Models (LLMs) and Machine Learning algorithms.
  • Framework Experience: Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
Preferred Skills And Experience 
  • Project Experience: Previous involvement in AI/ML projects or internships.
  • Deep Learning: Knowledge of deep learning and neural networks.
  • Data Visualization: Experience with tools like Matplotlib and Seaborn.
  • Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure.

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