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$168.8K

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How much do from home computational materials science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for from home computational materials science in the United States is $168,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,500.00 and $182,000.00 per year, depending on experience, location, and employer.

What is a from home computational materials science job?

A 'From Home Computational Materials Science' job involves conducting research, simulations, and data analysis related to materials science using computer-based methods, all while working remotely. Professionals in this field use software to model the properties and behaviors of materials, predict new material structures, and optimize material performance for various applications. These roles often require a strong background in physics, chemistry, programming, and computational modeling, and they allow scientists and engineers to contribute to research projects without needing to be physically present in a laboratory or office setting.

What are the key skills and qualifications needed to thrive as a remote computational materials scientist?

To thrive as a remote Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, typically supported by an advanced degree (MS or PhD) and expertise in computational modeling. Proficiency in programming languages such as Python or C++, experience with simulation software (e.g., VASP, LAMMPS), and familiarity with high-performance computing environments are essential. Strong problem-solving abilities, self-motivation, and effective communication skills help you collaborate virtually and manage independent research. These skills and qualities are crucial for conducting complex simulations, publishing research, and contributing to interdisciplinary teams in a remote work setting.

How do remote computational materials scientists typically collaborate with experimental teams and other researchers?

Remote computational materials scientists often work closely with experimentalists, data scientists, and other researchers through virtual meetings, shared cloud-based platforms, and collaborative tools like version control systems. Regular video conferences and clear documentation are essential for staying aligned on project goals and integrating computational findings with experimental results. While working from home offers flexibility, it also requires strong communication skills to ensure successful interdisciplinary collaboration and timely project delivery.

What is the difference between From Home Computational Materials Science vs Computational Materials Engineer?

AspectFrom Home Computational Materials ScienceComputational Materials Engineer
CredentialsTypically requires a PhD or Master's in Materials Science, Physics, or related fieldsRequires a degree in Materials Science, Engineering, or related disciplines; often a Master's or PhD
Work EnvironmentPrimarily remote, using computer simulations and modeling softwareUsually in-office or hybrid, combining lab work and computer modeling
Industry UsageUsed in research, academia, and some R&D departmentsCommon in manufacturing, R&D, and product development sectors

From Home Computational Materials Science focuses on remote research and simulation work, while Computational Materials Engineer often involves hands-on engineering and on-site collaboration. Both roles require advanced degrees and involve modeling, but differ in work environment and application.

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From Home Computational Materials Science jobs near you
Infographic showing various From Home Computational Materials Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $168,844 per year, or $81.2 per hour.

RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Computational Materials Integrity

Southwest Research Institute

San Antonio, TX • On-site

$86.28 - $175.47/hr

Other

Posted 17 days ago

Southwest Research Institute rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

9th of 75 rated research

Job description

RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Computational Materials Integrity

18-01604

Who We Are:

We develop and apply advanced computational methods to assess the performance of a variety of engineering materials that are used in a wide range of systems with a particular focus on estimating the life and reliability of high-consequence engineering applications. We seek candidates skilled in analytical and numerical methods that support software development for fatigue crack growth and fracture of metallic materials under sustained and cyclic loading. Most relevant technical areas include damage tolerance, computational mechanics, and computational material science.

Objectives of this Role:
  • Join our team to perform fundamental and applied research through the development of advanced fatigue crack growth for material and structural integrity assessments.
  • Help manage our established software codebase and provide guidance on the technical solutions to solve problems related to practical fatigue crack growth, fracture, and structural integrity assessments.
  • Work within a large team and a software operations framework to write integrate, compile, text and debug source code to support long-term, commercial software programs.
  • Apply principles in advanced continuum mechanics, numerical methods, materials science, and applied mathematics to solve unique problems using the modern Fortran programming language.
  • Build and apply skills to support contract research programs, develop new technology areas, and interact with government and commercial clients.
Daily and Monthly Responsibilities:
  • Provide technical leadership toward the ongoing development and enhancement of fatigue crack growth software programs: NASGRO® and DARWIN®.
  • Coordinate accuracy, precision, and consistency test campaigns of predictions implemented within high-criticality commercial software.
  • Drive the development of new practical methods to perform damage tolerance assessments.
  • Champion innovations focused on reducing memory footprint, optimizing computational efficiency, and streamlining the analysis of large datasets.
  • Oversee the resolution of user-reported issues by identifying root causes and implement fixes in a timely manner.
  • Interact with a larger development team to coordinate issue resolution within a large, interconnected, and legacy codebase.
  • Collaborate with clients, stakeholders, and development teams to align the software’s documentation, usage, and evolution with industry demands.
  • Lead reports and papers on new technical solutions.
  • Lead tasks and projects to completion, ensuring they are delivered within scope, budget, and schedule constraints.
  • Drive improvement initiatives to optimize software development and execution.
Requirements:
  • Requires a Masters or a PhD in Mechanical Engineering, Materials Science, Structural Engineering, Computational Mechanics, Theoretical and Applied Mechanics, Geomechanics, or similar engineering degree.
  • 1 year related work experience required with a Masters, 0 years required with a PhD.
  • 0-5 years: Experience and/or training in fracture mechanics, fatigue crack growth assessment, continuum mechanics, materials science, applied mechanics, applied mathematics, and mechanical behavior of engineering metals.
  • 0-5 years: Experience and/or training in software development processes for scientific computing, including version control, optimization, software verification, relevant programming languages, and programming assisted by ML/AI tools.
  • 0-5 years: Experience in stress-intensity factor solutions, weight function methods, fatigue crack growth algorithms, time-dependent crack growth, small-crack growth mechanisms, threshold, shakedown, rainflow, environmental fatigue, and multi-point computational fracture mechanics.
  • 0-5 years: Experience in customer issue resolution, supporting for legacy code and application programming interfaces, and using ML/AI tools to streamline software development, sustainment, documentation, and verification.
  • A valid/clear driver's license is required.
  • Salary Range: $86,278 - $175,469
Special Requirements:

Must be a U.S. person (i.e., U.S. citizen, non-U.S. citizen national, lawful permanent resident, asylee, or refugee) due to ITAR work in section.

Job Locations: San Antonio, Texas Or Remote

For benefits information at our San Antonio location, click here .
For benefits information at all other locations, click here .

An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status.

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