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Computer Science Internship Jobs in Hackensack, NJ

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Danaher

Software Automation Internships

Yonkers, NY · On-site

... 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 Internship information

What do you do as a computer science intern?

A computer science intern typically assists with software development, coding, testing, and debugging projects. They may work with programming languages like Python, Java, or C++, and often collaborate with teams to gain practical experience in software engineering and problem-solving. Interns may also participate in code reviews and learn about development tools and workflows.

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

AspectComputer Science InternshipSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as CS internship, often students or recent grads
Work EnvironmentVaries across tech companies, research labs, startupsPrimarily software development teams in tech firms
Employer & Industry UsageUsed across academia, industry, research projectsPrimarily in software development companies and tech industry
Common Search & Comparison IntentUnderstanding internship opportunities in CSComparing software development internship roles

Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.

Where can I do my internship as a computer science student?

Computer science students can pursue internships at technology companies, startups, research institutions, or through university programs. Internships often involve working with programming languages, software development, or data analysis, and may require prior knowledge of tools like Git or Python.

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

To thrive as a Computer Science Intern, you generally need foundational knowledge in programming, algorithms, and data structures, often supported by progress toward a computer science degree. Familiarity with coding languages such as Python, Java, or C++, as well as experience using version control systems like Git, is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative environments. These skills and qualities are essential because they enable interns to contribute meaningfully to projects, adapt to new technologies, and work efficiently within a development team.

What types of projects do Computer Science interns typically work on, and how much autonomy can I expect?

Computer Science interns often contribute to real-world projects such as developing new software features, debugging code, automating processes, or supporting infrastructure. While the level of autonomy varies by company, interns are generally given meaningful tasks and encouraged to collaborate with senior engineers and cross-functional teams. You'll likely participate in code reviews, agile sprints, and team meetings, gaining hands-on experience and feedback. Many organizations assign mentors to guide interns, helping them balance independence with structured learning and support.

Is 23 an hour good for an internship?

For a computer science internship, $23 per hour is generally considered above average, as many internships pay between $15 and $20 an hour. This rate may reflect the level of skills, location, and the company's budget, and it often includes opportunities to gain valuable experience with programming languages and tools like Python or Java. However, internship pay varies widely depending on the industry and region.

What Are Internship Opportunities in Computer Science?

An internship in computer science provides on-the-job training for students who study computer science. Your duties in this program depend on the focus on the internship. Some interns get experiencing coding and developing software, applications, or website user interfaces. As an intern, you work under the direction of programming and development professionals. Your responsibilities include writing lines of code, testing and debugging software, learning computer languages in a realistic setting, and functioning as part of a team. Other computer science internships focus on providing technical support, cybersecurity services, or administration services as part of an IT team.

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 institutions that offer hands-on experience in 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 relevant technical certifications. These internships can enhance your resume and prepare you for full-time roles in the tech industry.

What is a computer science internship?

A computer science internship is a temporary position that allows students or recent graduates to gain practical experience in the field of computer science. Interns typically work on real-world projects, assisting with programming, software development, data analysis, or IT support under the supervision of experienced professionals. These internships provide valuable hands-on skills, networking opportunities, and insight into potential career paths within technology industries.
More about Computer Science Internship jobs
What are the most commonly searched types of Computer Science jobs in Hackensack, NJ? The most popular types of Computer Science jobs in Hackensack, NJ are:
What are popular job titles related to Computer Science Internship jobs in Hackensack, NJ? For Computer Science Internship jobs in Hackensack, NJ, the most frequently searched job titles are:
What job categories do people searching Computer Science Internship jobs in Hackensack, NJ look for? The top searched job categories for Computer Science Internship jobs in Hackensack, NJ are:
What cities near Hackensack, NJ are hiring for Computer Science Internship jobs? Cities near Hackensack, NJ with the most Computer Science Internship job openings:
Computer Science Internship jobs near you
Infographic showing various Computer Science Internship job openings in Hackensack, NJ as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.

Quantitative Researcher - Summer Internship

WallStreetQuants

New York, NY • On-site

Full-time

Posted 17 days ago

Job description

About the Internship
A New York based Hedge Fund is seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. This internship is designed for undergraduate students interested in applying mathematics, statistics, programming, and data analysis to financial markets.
You will work alongside experienced researchers and traders to explore market data, test research ideas, and help evaluate systematic trading strategies. This is a hands-on opportunity to gain exposure to quantitative finance in a collaborative and intellectually challenging environment.
Requirements
Responsibilities
  • Analyze financial and market datasets using statistical methods.
  • Assist with research on systematic trading strategies.
  • Clean, organize, and validate large datasets.
  • Build simple models and backtests under researcher supervision.
  • Write Python code for data analysis, visualization, and research workflows.
  • Summarize findings clearly through charts, reports, or presentations.
  • Collaborate with researchers, traders, and engineers on research projects.
  • Learn how quantitative research ideas are developed, tested, and evaluated.
Qualifications
  • Currently pursuing a bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Expected graduation date of 2028 or 2029.
  • Strong academic performance in quantitative coursework.
  • Programming experience in Python.
  • Familiarity with probability, statistics, linear algebra, or optimization.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical ideas clearly.
Preferred Qualifications
  • Experience with pandas, NumPy, matplotlib, scikit-learn, or similar tools.
  • Coursework or projects involving data analysis, machine learning, econometrics, or time series.
  • Familiarity with SQL or databases.
  • Participation in math, programming, trading, data science, or research competitions.
  • Prior internship, academic research, or independent project involving quantitative analysis.

Benefits
What You'll Gain
  • Exposure to real-world quantitative research and systematic trading.
  • Mentorship from experienced researchers and traders.
  • Practical experience working with financial data.
  • Opportunity to contribute to meaningful research projects.
  • A deeper understanding of careers in quantitative finance.

Apply