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Day Computational Material Science Jobs (NOW HIRING)

Vrtx

Senior Director, Material Science

Boston, MA · On-site

$217K - $326K/yr

... inclusive of computational modeling application, from GLP Tox through to commercial ... In this On-Site designated role, you will work five days per week on-site with ad hoc flexibility.

SES

Technical Product Manager

Woburn, MA · On-site +1

$182K - $211K/yr

This role requires deep literacy in computational materials science and AI4Science to coordinate strategy across our research, engineering, and materials teams. As the Technical Product Manager, you ...

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How much do day computational material science jobs pay per year?

As of Jun 10, 2026, the average yearly pay for day computational material science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Materials Scientist, and why are they important?

To thrive as a Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, typically supported by a relevant advanced degree (MSc or PhD). Expertise with simulation software such as VASP, Quantum ESPRESSO, or LAMMPS, as well as proficiency in programming languages like Python or Fortran, is essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with interdisciplinary teams and presenting complex data. These skills are crucial for driving innovation, accurately modeling materials, and translating computational results into real-world applications.

What are some common challenges faced by professionals in Day Computational Material Science roles, and how can they be addressed?

Professionals in Day Computational Material Science often encounter challenges such as managing large datasets, integrating experimental and simulation results, and keeping up with rapid advancements in computational methods. Addressing these challenges requires strong collaboration with experimentalists, continual learning to stay updated on new software and algorithms, and effective time management to balance multiple projects. Leveraging open-source tools and participating in interdisciplinary teams can also help overcome technical hurdles and enhance research outcomes.

What is a Computational Material Scientist?

A Computational Material Scientist is a professional who uses computer simulations and theoretical models to study and predict the properties and behaviors of materials. They utilize advanced software and high-performance computing to analyze materials at the atomic or molecular level, helping to design new materials with specific characteristics. Their work supports advancements in fields like electronics, energy, aerospace, and manufacturing by enabling faster and more cost-effective material development compared to traditional experimental methods.

What is the difference between Day Computational Material Science vs Day Materials Engineer?

AspectDay Computational Material ScienceDay Materials Engineer
Required CredentialsTypically requires a PhD or Master's in materials science, physics, or related fieldsBachelor's or Master's in materials engineering or related disciplines
Work EnvironmentPrimarily research labs, computational environments, and simulation softwareDesign, testing, and manufacturing settings, often in industrial or construction sites
Employer & Industry UsageResearch institutions, universities, R&D departments of tech and manufacturing firmsManufacturing companies, construction firms, product development teams

Day Computational Material Science focuses on computer-based simulations and modeling to understand material properties, while Day Materials Engineer involves practical application, testing, and development of materials in real-world settings. Both roles require strong technical knowledge but differ mainly in their work environment and daily tasks.

What cities are hiring for Day Computational Material Science jobs? Cities with the most Day Computational Material Science job openings:
What are the most commonly searched types of Computational Material Science jobs? The most popular types of Computational Material Science jobs are:
What states have the most Day Computational Material Science jobs? States with the most job openings for Day Computational Material Science jobs include:
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RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Fatigue & Fracture Engineering

RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Fatigue & Fracture Engineering

Southwest Research Institute - Fulltime

San Antonio, TX

Full-time

Posted 6 days ago

Southwest Research Institute rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

6th of 57 rated research

Job description

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 codebases 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 degree or a PhD in Mechanical Engineering, Materials Science and Engineering, Structural Engineering, Computational Mechanics, Theoretical and Applied Mechanics, Civil Engineering, Aerospace Engineering, Engineering Mechanics, or similar engineering degree. Those with a Masters require 1 year of experience, those with a PhD require 0 years of experience. 1 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.

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. Experience in stress-intensity factor solutions, weight function methods, fatigue crack growth algorithms, time-dependent crack growth, small-crack growth mechanisms, threshold, shakedown, rain flow, environmental fatigue, and multi-point computational fracture mechanics. 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.

Must be able to work onsite at the San Antonio, TX facility. A valid/clear driver's license is required.

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