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Computer Science Fall Internship Jobs in California

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Computer Science Fall Internship information

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$12.2K

$51.3K

$103.8K

How much do computer science fall internship jobs pay per year?

As of Jun 19, 2026, the average yearly pay for computer science fall internship in California is $51,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,314.00 and $55,816.00 per year, depending on experience, location, and employer.

Can you get internships in the fall?

Yes, computer science fall internships are common and typically available for students during the academic semester. Many companies offer these internships to provide hands-on experience with programming, software development, and related skills, often requiring applicants to have relevant coursework or technical knowledge. Application deadlines usually occur several months in advance, so early preparation is recommended.

Is $20 an hour good for an intern?

For a Computer Science Fall Internship, $20 an hour is generally considered above average, as many internships pay between $15 and $20 per hour. However, pay can vary based on location, company size, and the intern's skill level, and some competitive programs may offer higher compensation or additional benefits.

What is the difference between Computer Science Fall Internship vs Software Developer Intern?

AspectComputer Science Fall InternshipSoftware Developer Intern
Required CredentialsEnrolled in a computer science or related programEnrolled in a computer science or related program
Work EnvironmentAcademic institutions, tech companies, startupsTech companies, software firms, startups
Employer & Industry UsageUniversities, tech companies, industry projectsPrimarily tech companies, software development firms
Common Search & ComparisonYesYes

The main difference is that a Computer Science Fall Internship is a broader program often offered by universities or companies to students in computer science, focusing on gaining general industry experience. A Software Developer Intern typically refers specifically to roles focused on software development tasks within tech companies. Both roles require similar educational backgrounds but differ mainly in scope and focus.

Can I make 200K with a computer science degree?

A computer science internship typically does not offer a salary close to 200K, as internships are usually paid lower and serve as training opportunities. However, experienced software engineers or developers with strong skills in areas like machine learning, cloud computing, or cybersecurity can earn salaries exceeding 200K, especially in high-cost living areas or with senior roles. Salary potential depends on experience, location, specialization, and the company.

Which internship is best for a CS student?

The best internship for a CS student depends on their interests and career goals, but generally, internships at reputable tech companies or research labs that offer hands-on experience with programming, software development, or data analysis are valuable. Look for opportunities that provide mentorship, skill development, and exposure to real-world projects, often requiring proficiency in languages like Python, Java, or C++ and familiarity with tools such as Git or cloud platforms.

What is a Computer Science Fall Internship?

A Computer Science Fall Internship is a temporary position, typically offered to students or recent graduates, that allows individuals to gain practical experience in the field of computer science during the fall semester. Interns work with companies or organizations on real-world projects, often involving software development, data analysis, or IT support. These internships help participants develop technical skills, build professional networks, and enhance their resumes for future job opportunities.

What types of projects and technologies do computer science fall interns typically work on during their internship?

Computer science fall interns often get the chance to work on a variety of hands-on projects, such as developing new software features, debugging existing code, or contributing to data analysis tasks. The specific technologies you might use can range from programming languages like Python or Java to tools such as Git, cloud platforms, or machine learning libraries, depending on the company. Interns usually work closely with full-time engineers and may participate in agile team meetings, code reviews, and collaborative problem-solving sessions. This exposure helps interns build both technical and teamwork skills, while also giving them insight into the software development lifecycle.

What are the key skills and qualifications needed to thrive as a Computer Science Fall Intern, and why are they important?

To thrive as a Computer Science Fall Intern, you need foundational knowledge in programming languages, algorithms, and data structures, typically supported by progress toward a computer science degree. Familiarity with version control systems like Git, integrated development environments (IDEs), and common frameworks or libraries is frequently required. Strong problem-solving abilities, eagerness to learn, and effective communication set exceptional interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly to new technologies, and collaborate efficiently within development teams.
What are popular job titles related to Computer Science Fall Internship jobs in California? For Computer Science Fall Internship jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Fall Internship jobs in California look for? The top searched job categories for Computer Science Fall Internship jobs in California are:
Computer Science Fall Internship jobs near you
Infographic showing various Computer Science Fall Internship job openings in California as of June 2026, with employment types broken down into 7% Internship, 79% Full Time, 7% Part Time, and 7% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $51,346 per year, or $24.7 per hour.

Financial Analyst Internship - Fall 2026

Varda Space Industries

El Segundo, CA

Other

Posted 7 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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