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Internship Spacex Computer Science Jobs in Secaucus, NJ

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 ...

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 ...

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 ...

Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and contractors Minimum Qualifications: * Bachelor's degree in Computer Science, Computer Engineering ...

Our Risk Advisory interns apply accounting, finance, and data analytics skills to help clients ... Must be enrolled in a master's degree program in Business Analytics, Computer Science, Data Science ...

Showing results 21-40

Internship Spacex Computer Science information

How difficult is it to get a SpaceX internship?

Securing a SpaceX internship in computer science is highly competitive, often requiring strong academic performance, relevant technical skills such as programming and software development, and prior project or research experience. Applicants typically go through a rigorous selection process that includes multiple interview stages and technical assessments.

Which internship is best for a computer science student?

The best internship for a computer science student depends on their interests and career goals, but highly regarded options include internships at leading tech companies like SpaceX, which offer hands-on experience in aerospace engineering, software development, and robotics. Successful applicants typically have strong programming skills in languages such as Python or C++, relevant coursework, and a solid understanding of algorithms and data structures. Internships often require a good academic record, project experience, and the ability to work in a team environment.

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

AspectInternship Spacex Computer ScienceSoftware Engineer Intern
Required CredentialsEnrolled in Computer Science or related degreeEnrolled in Computer Science or related degree
Work EnvironmentSpace industry, aerospace projects, collaborative teamsTechnology companies, software development teams
Employer & Industry UsageSpaceX, aerospace, defenseTech companies, startups, software firms
Common Search & ComparisonYesYes

Both Internship Spacex Computer Science and Software Engineer Intern roles typically require students to be enrolled in a related degree program. The main difference lies in the work environment: SpaceX internships focus on aerospace and space projects, while software engineering internships are more common in general tech companies. Both roles aim to provide hands-on experience in software development, but the industry context varies significantly.

What job categories do people searching Internship Spacex Computer Science jobs in Secaucus, NJ look for? The top searched job categories for Internship Spacex Computer Science jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Internship Spacex Computer Science jobs? Cities near Secaucus, NJ with the most Internship Spacex Computer Science job openings:

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Full-time

Posted 28 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.