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Computer Science Fall Internship Jobs in Pennsylvania

Intern: Quality (Fall 2026)

Macungie, PA ยท On-site

$17 - $46/hr

... Computer Engineering โ€ข Prefer a motivated Junior or Senior in good academic standing โ€ข Fall interns may work up to 30 hours per week during the term At the Volvo Group, we strive for a clear ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

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Computer Science Fall Internship information

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.
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Infographic showing various Computer Science Fall Internship job openings in Pennsylvania as of June 2026, with employment types broken down into 17% Internship, 35% Full Time, 42% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution.
Quantitative Research Analyst Internship

Quantitative Research Analyst Internship

Stevens Capital Management LP

Radnor, PA โ€ข On-site

Full-time, Part-time, Internship

Posted 19 days ago


Job description

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process. The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.
Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.
Primary Responsibilities:
  • Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
  • Build data sets and conduct statistical analysis on the data.

Requirements:
  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines).
  • Programming experience, ideally including R, C++ and/or Python.
  • Experience with regression analysis.
  • Strong interest in learning how to build, organize and analyze large data sets.
  • Strong organizational and communication skills.