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Internship Computer Science Startup Jobs in Pennsylvania

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

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Internship Computer Science Startup information

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 technology startups or established tech companies offer hands-on experience in software development, coding, and problem-solving. Skills in programming languages like Python, Java, or C++, along with familiarity with tools such as Git and Agile methodologies, are valuable. Competitive internships often require a strong academic record and relevant project experience.

Is a 3.4 GPA good for internships?

For an internship in computer science at a startup, a 3.4 GPA is generally acceptable, especially if complemented by relevant skills like programming languages, projects, or certifications. Many startups prioritize practical experience and technical ability over GPA, so demonstrating your skills can be more important than your academic score.

What does an internship at a computer science startup involve?

An internship at a computer science startup typically involves working on real-world projects, collaborating with experienced engineers, and contributing to software development tasks. Interns may help with coding, debugging, testing, or developing new features, and are often exposed to various aspects of the business, such as product design and customer feedback. Startups usually offer a fast-paced, hands-on learning environment where interns can gain valuable technical and professional skills while making a meaningful impact.

What types of projects or tasks do computer science interns typically work on at startups?

Computer science interns at startups often work on a variety of hands-on projects, such as building new features, fixing bugs, or prototyping innovative ideas. Because startups tend to have smaller teams, interns may have the opportunity to contribute code directly to the product and collaborate closely with engineers, designers, and sometimes even founders. This environment fosters rapid learning and exposure to the full software development lifecycle. Interns may also participate in code reviews, daily standups, and brainstorming sessions, making their work both impactful and dynamic.

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

AspectInternship Computer Science StartupSoftware Developer Intern
Required CredentialsEnrolled in CS or related degree, basic coding skillsEnrolled in CS or related degree, coding skills
Work EnvironmentFast-paced startup setting, collaborative teamsCorporate or startup, team-based projects
Employer & IndustryStartup companies in tech, innovation sectorsTech companies, software firms, startups
Search & Comparison IntentUnderstanding internship roles in startupsComparing internship roles in software development

Internship Computer Science Startup positions typically involve working in dynamic startup environments, focusing on innovative projects with a broad range of responsibilities. Software Developer Intern roles are more structured, often within established companies, emphasizing specific coding tasks. Both require similar educational backgrounds and skills, but the startup internship offers a more versatile experience in a fast-growing setting.

What are the key skills and qualifications needed to thrive as an intern at a computer science startup, and why are they important?

To thrive as an intern at a computer science startup, you need a solid understanding of programming fundamentals, problem-solving skills, and ideally, coursework or experience in areas like algorithms, data structures, or web development. Familiarity with version control systems (like Git), cloud platforms, and common programming languages such as Python or JavaScript is often required. Initiative, adaptability, and strong communication are crucial soft skills for collaborating in a fast-paced, innovative environment. These skills and qualities enable interns to contribute effectively, learn quickly, and grow within the dynamic culture of a startup.

Is $20 an hour good for an internship?

For a computer science startup internship, $20 an hour is generally considered above average, as many internships pay between $15 and $20 per hour. However, compensation can vary based on location, the complexity of tasks, and whether the internship offers additional benefits or experience opportunities.

Can I make 200K with a computer science degree?

A computer science internship at a startup typically does not pay $200,000 annually; such high salaries are usually associated with experienced roles like software engineers or data scientists. Entry-level positions often start lower, but with experience, skills in programming, machine learning, or cloud computing, and a strong professional network, high salaries are achievable in the tech industry.
What cities in Pennsylvania are hiring for Internship Computer Science Startup jobs? Cities in Pennsylvania with the most Internship Computer Science Startup job openings:
Infographic showing various Internship Computer Science Startup job openings in Pennsylvania as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution.
Assistant Professor of Data Science and Computer Science

Assistant Professor of Data Science and Computer Science

Lafayette College

Easton, PA โ€ข On-site

Full-time

Posted 10 days ago


Job description

Description
The Lafayette College Data Science Program and Computer Science Department invite applications for a joint full-time, tenure-track position at the rank of Assistant Professor commencing July 2026. Candidates from all data science related research areas, including interdisciplinary ones, are encouraged to apply. Candidates will have earned, or be near completion of, a Ph.D. in data science, computer science, statistics or a related field by the start of their appointment. We especially welcome applications from candidates who will contribute to Lafayette's commitment to diversity and inclusion, and who are interested in guiding student research.
The Data Science program offers a balanced minor that, in addition to technical statistical and computing skills, requires all students to consider the ethics of how data science products are created and used, and by/for whom they are created. Since its initiation, the Data Science program has been growing very quickly, and producing large numbers of minors. The Data Science program works in close collaboration with the Department of Computer Science, which offers both Bachelor of Science and Bachelor of Arts degrees in computer science, as well as minors in computer science and computational methods. Faculty members teach the equivalent of four courses in their first year and five courses (3:2) per year thereafter. For this position, the typical 5 course load will be split with 3 being in data science and 2 in computer science. The college, the program, and the department are very supportive of research. The college offers startup packages, funds for conference/research travel, and a student research program (the EXCEL Scholars program) where students collaborate closely with faculty to support their research goals. The students in our programs are also very active, with two vibrant organizations: Women in Computing (WinC) and a student Association for Computing Machinery (ACM) chapter. For more details about the department, program, and position, please see our webpages: https://compsci.lafayette.edu and https://datascience.lafayette.edu.
The Department of Computer Science is one of five ABET-accredited Bachelor of Science programs at Lafayette. Department faculty have a diverse set of interests ranging from theoretical computer science to applied computing problems, with specific expertise in artificial intelligence, complexity theory, human-computer interface, logic, machine learning, natural language processing, computational epidemiology, and natural computing. Reflecting this wide range of interests, the Department of Computer Science has an interdisciplinary perspective leading us to build bridges across the college to support computation in all its many forms.
Located within 70 miles of New York City and Philadelphia, Lafayette College is a highly selective undergraduate liberal arts and engineering institution with significant resources to support faculty members in their teaching and scholarship. Lafayette College is committed to creating a diverse community, one that is inclusive and responsive, and is supportive of its faculty, students, and staff. All members of the College community share a responsibility for creating, maintaining, and developing a learning environment in which difference is valued, equity is sought, and inclusiveness is practiced. Lafayette welcomes applicants from diverse backgrounds.
Application Instructions
Applicants will use Interfolio at https://apply.interfolio.com/172251 to submit a cover letter, curriculum vitae, statement of teaching philosophy, research statement, and three letters of reference. In the cover letter, candidates should address how their teaching, research, and service will support Lafayette's commitment to diversity and inclusion articulated in the College's diversity statement (http://www.lafayette.edu/about/diversity-statement).
Review of applications will begin on September 29, 2025. However, applications will be accepted until the position is filled. Questions about the position should be directed to Prof. Trent Gaugler, Associate Professor of Mathematical Sciences, Chair of the Data Science Program, and Search Committee Chair, at gauglert@lafayette.edu.