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Internship Computer Science Nasa Jobs in Texas (NOW HIRING)

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. * Advanced ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

This position requires on-site presence at NASA's Johnson Space Center. Required Qualifications: * Bachelor or Advanced Degree in Computer Science or Software Engineering (or equivalent experience ...

In this position, you will work with a team of engineers and NASA customers to support human ... Required : • Bachelor or Advanced Degree in Computer Science or Software Engineering (or ...

Flight Software Engineer

Houston, TX · On-site

$110 - $150/hr

This position requires on-site presence at NASA's Johnson Space Center. Required Qualifications: * Bachelor or Advanced Degree in Computer Science or Software Engineering (or equivalent experience ...

This position requires on-site presence at NASA's Johnson Space Center. Required Qualifications: * Bachelor or Advanced Degree in Computer Science or Software Engineering (or equivalent experience ...

... NASA and commercial customers. They are seeking a General Engineering professional to work on ... Computer Science or Engineering (or equivalent experience) • Good working knowledge of ...

The role involves working with engineers and NASA customers to develop software for various ... Required : • Bachelor or Advanced Degree in Computer Science or Software Engineering (or ...

... NASA's simulation efforts as part of the Robotics, Simulations, and Graphics Support (RSGS) team. This role is ideal for candidates with a strong foundation in computer science and software ...

... NASA's simulation efforts as part of the Robotics, Simulations, and Graphics Support (RSGS) team. This role is ideal for candidates with a strong foundation in computer science and software ...

... NASA and commercial customers in the agriculture, energy, construction, and sports marketing ... Bachelor or Advanced Degree in Computer Science or Engineering (or equivalent experience) * Good ...

In this position, you will work with engineers and NASA customers to support human spaceflight ... Required : • Bachelor or Advanced Degree in Computer Science or Software Engineering (or ...

We are currently seeking students who have attained Sophomore or Junior Status in Computer Science or Computer Engineering programs to join our Summer Internship program. In addition to technical ...

Showing results 41-60

Internship Computer Science Nasa information

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

AspectInternship Computer Science NasaSoftware Engineering Intern
Required CredentialsEnrolled in Computer Science or related degree, often with security clearanceEnrolled in Computer Science, Software Engineering, or related degree
Work EnvironmentResearch labs, aerospace facilities, government agenciesTech companies, startups, corporate offices
Employer & Industry UsageNASA, government space agenciesTechnology firms, software companies
Common Search & Comparison IntentUnderstanding NASA-specific internships in CSExploring software engineering internship opportunities

Internship Computer Science Nasa typically involves working on aerospace and research projects within NASA's facilities, often requiring security clearances. In contrast, Software Engineering Internships are more common in private tech companies, focusing on software development and coding tasks. Both roles require a background in computer science but differ mainly in work environment and industry focus.

Can I get a job at NASA with a computer science degree?

A computer science degree can qualify you for various roles at NASA, including software development, data analysis, and systems engineering. Relevant skills such as programming in languages like Python or C++, experience with robotics or aerospace systems, and security clearances can enhance your chances of employment.

Is it hard to get a NASA internship?

Getting a NASA internship in computer science is competitive due to high applicant volume and strict requirements, including strong academic performance, relevant skills in programming and data analysis, and often prior research or project experience. Successful applicants typically demonstrate technical proficiency, problem-solving abilities, and a passion for space and science fields.

What are the most commonly searched types of Computer Science Nasa jobs in Texas?

The most popular types of Computer Science Nasa jobs in Texas are:

What cities in Texas are hiring for Internship Computer Science Nasa jobs?

Cities in Texas with the most Internship Computer Science Nasa job openings:

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Re-posted yesterday


Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.