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How much do internship computational materials science jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for internship computational materials science in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is an internship in computational materials science?

An internship in computational materials science is a temporary position, usually for students or recent graduates, where you gain hands-on experience using computer simulations and modeling to study and design materials. Interns typically work on research projects involving software tools to predict material properties, analyze data, or develop new materials. This experience provides valuable skills in programming, data analysis, and scientific research, which are essential for a career in materials science or related fields.

What are the key skills and qualifications needed to thrive in a computational materials science internship?

To thrive as an intern in Computational Materials Science, you typically need a solid background in materials science, physics, or related fields, along with programming skills in languages such as Python or C++. Familiarity with computational tools like Density Functional Theory (DFT) software (e.g., VASP, Quantum ESPRESSO) and data analysis platforms is highly beneficial. Strong analytical thinking, attention to detail, and effective communication set candidates apart in collaborative research environments. These competencies enable interns to contribute meaningfully to simulations, data interpretation, and innovative materials research.

What types of projects can an intern expect to work on in a computational materials science internship?

As a Computational Materials Science intern, you can expect to be involved in projects such as simulating material properties, analyzing large datasets from experiments, or developing and testing computational models. Interns often assist with software coding, data visualization, and running simulations using tools like Density Functional Theory (DFT) or molecular dynamics packages. Collaboration with other scientists and engineers is common, and you may contribute to research publications or presentations, providing valuable hands-on experience in both individual and team-based research settings.

What is the difference between Internship Computational Materials Science vs Computational Materials Scientist?

AspectInternship Computational Materials ScienceComputational Materials Scientist
CredentialsEnrolled in or recent graduate of relevant degree programsAdvanced degree (Master's or Ph.D.) in materials science, physics, or related fields
Work EnvironmentAcademic or research labs, internships at industry companiesResearch and development teams in industry or academia
ResponsibilitiesAssisting with computational modeling, data analysis, learning industry toolsLeading projects, developing models, publishing research

Internship Computational Materials Science positions are entry-level, focused on learning and supporting ongoing projects, while Computational Materials Scientists are experienced professionals responsible for independent research and development in the field.

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Infographic showing various Internship Computational Materials Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

???? Computational Materials Scientist ????

Mat3ra

Walnut Creek, CA • On-site

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Overview

We look for computational materials scientists excited about bridging the gap between materials/chemistry, data science, and computer science to help us develop a software framework for designing and discovering new advanced materials and chemicals.

Work will focus on (1) the application of nanoscale modeling to large sets of materials, surfaces, and reaction pathways with minimal human input, (2) organizing the data produced by the models and experimental validation, (3) establishing artificial intelligence approaches using the data.

Successful candidates will continue into leadership roles as we grow.
This is a full-time permanent position.


Responsibilities
  • software development
  • materials modeling with AI/ML
  • product design and concept development
  • work closely with the engineering team, relay and explain complex concepts

Why Join
  • see the results of your creative work used directly by the world's leading enterprises
  • realize your ambitions and directly define how materials research is done in the future
  • work with top-tier human capital in research, engineering, and venture capital

Requirements

Scientific

  • excellent knowledge of chemistry/materials science (Ph.D. from a tier-1 lab)
  • prior work on advanced electronic structure methods (VASP, Quantum ESPRESSO, Gaussian, NWChem, Siesta, or similar)
  • prior experience with machine learning

Engineering

  • python (advanced)
  • Linux/RedHat/Bash (advanced)
  • MongoDB/JSON (intermediate)
  • message-passing interface / OpenMP (intermediate)
  • other (GPU, TPU) - willing to learn

Other

  • ability to learn and apply new concepts rapidly
  • extreme attention to details

Plus

  • familiarity with AWS EC2, Microsoft Azure
  • familiarity with SaltStack or similar

Benefits

Company Benefits Include

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Free Food & Snacks
  • Wellness Resources
  • Stock Option Plan

Compensation

  • $90,000 - $140,000 salary range
  • 0.1 - 0.5% stock options