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Scientific Computing Internship Jobs (NOW HIRING)

AllSTEM Connections

Data Scientist I (Assistant)

Rahway, NJ · On-site

$104K - $114.40K/yr

... internships will be fully considered). • Programming Fluency: Deep, hands-on proficiency in Python specifically tailored for scientific computing and deep learning frameworks (e.g., NumPy, PyTorch ...

New

QuEra Computing, Inc.

Internship - Quantum Systems

Boston, MA · On-site

$16.25 - $21.75/hr

Analyze experimental data using the Python scientific stack to provide insights and feedback for ... computing applications. Qualifications: * Pursuing or recently completed a degree in computer ...

Intel

Senior Middleware Development Engineer

Hillsboro, OR

$128.88K - $245.16K/yr

... in scientific computing Qualifications: Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork ...

Intel

Senior Middleware Development Engineer

Austin, TX · On-site

$128.88K - $245.16K/yr

... in scientific computing Qualifications: Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork ...

Hirekeyz Inc

Lead Machine Learning Engineer

Fort Belvoir, VA · On-site

$115.90K - $152.70K/yr

... science, electrical engineering, mathematics, or a similar field * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience ...

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Scientific Computing Internship information

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How much do scientific computing internship jobs pay per month?

As of May 29, 2026, the average monthly pay for scientific computing internship in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

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

To thrive as a Scientific Computing Intern, you generally need a solid background in mathematics, programming (often Python, C++, or MATLAB), and data analysis, typically supported by coursework in computer science or a related STEM field. Familiarity with scientific computing tools and libraries such as NumPy, SciPy, and version control systems like Git is common, and experience with high-performance computing environments is a plus. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate with research teams and present complex findings clearly. These qualifications are crucial for efficiently supporting research projects and contributing to innovative scientific solutions.

What types of projects might I work on during a Scientific Computing Internship?

As a Scientific Computing Intern, you may be involved in projects such as developing simulation models, optimizing computational algorithms, or analyzing large datasets for scientific research. Interns often collaborate closely with researchers and software engineers, contributing to code development, data processing, or scientific visualization tasks. These projects provide hands-on experience with programming languages like Python, MATLAB, or C++, and exposure to high-performance computing environments. The collaborative and interdisciplinary nature of the work allows you to build both technical and teamwork skills which are valuable for future roles in academia or industry.

What is a Scientific Computing Internship?

A Scientific Computing Internship is a temporary position where students or recent graduates work on projects involving computational methods to solve scientific problems. Interns typically assist with programming, data analysis, mathematical modeling, and using specialized software to support research in fields like physics, biology, or engineering. The internship provides hands-on experience with real-world scientific challenges, often in academic, government, or industry research settings. These opportunities help interns develop technical skills, gain exposure to the research process, and build professional networks in the scientific computing field.

What is the difference between Scientific Computing Internship vs Data Analyst Internship?

AspectScientific Computing InternshipData Analyst Internship
Required CredentialsTypically requires a background in computer science, mathematics, or engineering; familiarity with programming languages like Python, C++, or MATLABUsually requires a degree in statistics, mathematics, or related fields; skills in SQL, Excel, and data visualization tools
Work EnvironmentResearch labs, academic institutions, or R&D departments within tech or engineering firmsBusiness settings, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed in scientific research, simulations, and modeling projectsApplied in business analytics, reporting, and data-driven decision making

While both internships involve working with data and computational tools, Scientific Computing Internships focus on scientific research, simulations, and technical problem-solving, whereas Data Analyst Internships emphasize analyzing business data to inform decisions. The choice depends on your career interests in research versus business analytics.

More about Scientific Computing Internship jobs
What cities are hiring for Scientific Computing Internship jobs? Cities with the most Scientific Computing Internship job openings:
What are the most commonly searched types of Scientific Computing jobs? The most popular types of Scientific Computing jobs are:
What states have the most Scientific Computing Internship jobs? States with the most job openings for Scientific Computing Internship jobs include:
What job categories do people searching Scientific Computing Internship jobs look for? The top searched job categories for Scientific Computing Internship jobs are:
Scientific Computing Internship jobs near you
Infographic showing various Scientific Computing Internship job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 79% Full Time, 14% Part Time, and 5% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.
Summer Internship NASA Computational Aerosciences

Summer Internship NASA Computational Aerosciences

Analytical Mechanics Associates

Mountain View, CA • On-site

$29.50 - $33.50/hr

Part-time

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

Job Description:
AMA is currently accepting applications for summer intern positions supporting the NASA Computational Aerosciences Branch (TNA) at NASA Ames Research Center (ARC) in Mountain View, California.
These internships provide an opportunity to contribute to a broad range of technical efforts in support of aerospace research and advanced computational methods. Depending on project needs and the intern's background, assignments may include work in areas such as computational fluid dynamics (CFD), GPU software development, scientific computing, data analysis and visualization, graphical user interface (GUI) development, and AI/ML approaches for fluid dynamics and related engineering applications.
Interns will work closely with NASA and AMA technical staff on research-oriented projects involving software development, numerical methods, simulation workflows, computational performance, and engineering analysis.
Possible Areas of Work Include:
  • Computational fluid dynamics (CFD) research and development
  • GPU acceleration and performance optimization of scientific software
  • Scientific computing and numerical methods
  • Data processing, post-processing, and visualization
  • GUI and workflow tool development for engineering and research applications
  • AI/ML methods applied to fluid dynamics, modeling, or scientific datasets
  • Software testing, validation, and automation for simulation workflows

Responsibilities may include:
  • Supporting research and development activities in computational aerosciences
  • Assisting with implementation, enhancement, and testing of scientific software tools
  • Running simulations, analyzing results, and preparing plots or summaries
  • Developing scripts, utilities, or prototype software capabilities
  • Contributing to technical presentations, reports, or documentation
  • Collaborating with researchers and engineers in a team-based environment

Minimum Qualifications:
  • Currently pursuing a BS, MS, or PhD in aerospace engineering, mechanical engineering, computer science, applied mathematics, physics, or a related field
  • Coursework, project experience, or research experience in one or more relevant technical areas
  • Programming experience in languages such as Python, C, C++, Fortran, CUDA, or similar
  • Familiarity with scientific computing, engineering analysis, software development, or related computational methods
  • Strong analytical, communication, and teamwork skills

Preferred Qualifications:
  • Experience with CFD, fluid mechanics, numerical methods, HPC, or GPU programming
  • Experience with GUI development, visualization tools, or interactive software workflows
  • Familiarity with machine learning, data-driven methods, or AI applications in engineering
  • Experience working in Linux-based computing environments
  • Strong interest in aerospace research and advanced simulation technologies

Additional Information:
  • These internships are typically 10-12 weeks in duration
  • Onsite only at NASA Ames Research Center (ARC)
  • Candidates must be either U.S. Citizens or Foreign Nationals with current U.S. work authorization valid for the full internship period (for example, OPT or similar authorization)
  • Foreign National applicants from NASA's designated country list are not eligible (https://www.nasa.gov/wp-content/uploads/2018/02/designated_country_list_6.10.2022.pdf)

Compensation:
The expected hourly pay range for this position is $29.50-$33.50, depending on education, experience, and other relevant factors.
Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.
AMA is an Affirmative Action/Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.

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