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Computational Engineering Internship Jobs in Baltimore, MD

Umd

Professor & Director

College Park, MD · On-site

$58K - $254K/yr

The institute pioneers computational science involving national defense, precision medicine, big ... The faculty regularly mentor visiting undergraduates through NSF-funded summer internship research ...

All JobsComputational Engineering JobsComputational Engineering Internship JobsComputational Engineering Internship Jobs in Baltimore, MD

Computational Engineering Internship information

See Baltimore, MD salary details

$10

$19

$29

How much do computational engineering internship jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for computational engineering internship in Baltimore, MD is $19.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $20.77 per hour, depending on experience, location, and employer.

What is a computational engineering internship?

A Computational Engineering Internship is a temporary position for students or recent graduates, where they apply their knowledge of computer science, mathematics, and engineering to solve real-world problems using computational methods. Interns typically work on projects involving simulation, modeling, data analysis, or software development in engineering fields. This role provides hands-on experience with industry tools and technologies, and helps interns develop practical skills in areas such as programming, numerical analysis, and algorithm design. Interns may also collaborate with experienced engineers and researchers, contributing to ongoing projects and gaining valuable insights into engineering workflows.

What types of projects does a computational engineering intern typically work on, and how do these projects contribute to their professional development?

Computational Engineering Interns often work on projects involving simulation, modeling, data analysis, or algorithm development to solve real engineering problems. These assignments may include optimizing engineering processes, validating simulation results, or supporting the development of new computational tools. Interns usually collaborate closely with experienced engineers, gaining exposure to industry software and best practices. This hands-on experience not only develops their technical abilities but also helps them build teamwork and communication skills essential for advancing in the field.

What are the key skills and qualifications needed to thrive as a computational engineering intern, and why are they important?

To thrive as a Computational Engineering Intern, you need a solid background in mathematics, programming (such as Python, MATLAB, or C++), and engineering principles, typically gained through relevant coursework or a degree in engineering, computer science, or a related field. Familiarity with simulation software, numerical analysis tools, and version control systems like Git is often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and contribute to complex engineering projects. These competencies are crucial for efficiently supporting engineering teams and delivering accurate computational analyses in a fast-paced environment.

What is the difference between Computational Engineering Internship vs Mechanical Engineering Internship?

AspectComputational Engineering InternshipMechanical Engineering Internship
Required CredentialsTypically pursuing or holding a degree in computational, software, or engineering disciplinesTypically pursuing or holding a degree in mechanical engineering or related fields
Work EnvironmentFocus on software development, simulations, and modeling in labs or office settingsHands-on hardware, design, and testing in labs, manufacturing, or field environments
Industry UsageUsed in aerospace, automotive, energy, and tech sectors for simulation and analysisCommon in manufacturing, automotive, aerospace, and product design industries

Computational Engineering Internships focus on software, modeling, and simulation tasks, often in tech-driven industries, while Mechanical Engineering Internships involve physical design, testing, and hardware work. Both roles require engineering backgrounds but differ in daily tasks and work environments.

What are the most commonly searched types of Computational Engineering jobs in Baltimore, MD?

The most popular types of Computational Engineering jobs in Baltimore, MD are:

What are popular job titles related to Computational Engineering Internship jobs in Baltimore, MD?

For Computational Engineering Internship jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Computational Engineering Internship jobs in Baltimore, MD look for?

The top searched job categories for Computational Engineering Internship jobs in Baltimore, MD are:

Computational Engineering Internship jobs near you
Infographic showing various Computational Engineering Internship job openings in Baltimore, MD as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,919 per year, or $19.2 per hour.

Computational Data Scientist

SURVICE Engineering Company

Aberdeen Proving Ground, MD • On-site

$115K - $130K/yr

Full-time

Retirement, PTO

Posted 26 days ago

Job description

Join Us in Making a Difference in the Lives of Those Defending Our Nation!
Why SURVICE?
Come join the SURVICE Engineering mission to protect, enhance, and enable those who defend the United States. Since 1981, we have supported the DoD community, as well as Homeland Security, advanced technologies, environmental, and commercial markets. Our employees have backgrounds in engineering, physics, mathematics, chemistry, computer science, acquisition, technical writing, training, and other technical and administrative fields. And many of our personnel have DoD and/or operational military experience. If you're looking for a challenging and rewarding career with a leading organization, come see what we can offer you!
Position
Computational Data Scientist
  • Location: Aberdeen Proving Ground, Maryland
  • Security Clearance: Active Clearance or Eligible to Obtain - U.S. citizenship required
  • Salary: $115,000 - $130,000 Depending on Experience and Education
  • Travel: 5%
  • Benefits: SURVICE Engineering offers a total rewards package to include competitive salaries, comprehensive insurance options, paid time off, 401k, flexible spending, tuition reimbursement.

Position Summary
SURVICE Engineering is currently seeking a Computational Data Scientist to support our Aberdeen Research Operation. You will accelerate your career and become an integral team member within the defense community.
Primary Duties and Responsibilities
  • Carry out forward-looking programs of materials research and process modeling leveraging data science methodologies and tools including artificial intelligence, machine learning (ML), probabilistic graph models, neural networks, or other emergent techniques.
  • Work with a multidisciplinary team of ARL experimental, theoretical, and computational scientists through decision making aids such as visual analytics and human-in-the-loop strategies to improve scientific efficiency and impact.
  • Apply learning algorithms on high-dimensional, complex and/or streaming data sets with limited labels and of diverse quality for smart decision making.
  • Pursue data processing of heterogeneous types from numeric, digital objects, images, structured to unstructured from data capture, data integration, data cleaning to data management.
  • Interface with data scientists in academic, industrial and government labs to identify and transition cutting edge tools for use at ARL, and work with outside partners to fill critical gaps in skills and capabilities.
  • Prepare presentations and written documents summarizing efforts in Government format

Minimum Qualifications of Computational Data Scientist
Masters of Science or PhD in Computer Science or Math related discipline and 3+ years of relevant experience. Exceptional candidates with less experience will be considered. Candidates are not required to possess all qualifications; if you possess some of the desired qualifications, please apply.
  • MS or PhD concentration in machine learning with at least three (3) independent projects including internships and thesis work OR minimum of five (5) years of dedicated experience with machine learning.
  • Practical experience in applying data science to model complex real-world problems.
  • Proficient in using Python and AI/ML models.
  • Experience in communicating results through reports and presentations.

About Us
SURVICE Engineering is a nationally recognized, single-source engineering service provider for Government and Industry organizations involved in all phases of the systems engineering process. Our employees are our most valuable asset, and they are proud to have supported the development, testing, analysis, and modeling and simulation (M&S) of many of the major U.S. air, land, and sea combat systems in the field today. They have also contributed their expertise to other vital national defense programs and technologies that involve survivability, cybersecurity, information technology/management, software engineering, unmanned aerial systems (UASs), and metrology/reverse engineering.
SURVICE Engineering is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. VEVRAA Federal Contractor.

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