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Computational Material Science Jobs in Maryland (NOW HIRING)

Johns Hopkins Applied Physics Laboratory

$85K/yr

We are seeking a Computational Mechanics Engineer to solve impactful problems by modeling key ... Materials Science, or equivalent with demonstrated application of knowledge. * 1+ years ...

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How much do computational material science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for computational material science in Maryland is $77,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,863.00 and $100,671.00 per year, depending on experience, location, and employer.

What is a computational material science?

A Computational Material Science job involves using computer simulations, modeling techniques, and data analysis to study and predict the properties of materials. Professionals in this field leverage methods like density functional theory (DFT), molecular dynamics, and machine learning to design new materials and optimize existing ones for various applications, including electronics, energy, and manufacturing. They often work in academia, research institutions, or industries such as aerospace, semiconductors, and pharmaceuticals. The role requires expertise in materials science, physics, chemistry, and programming, typically using tools like Python, MATLAB, or specialized simulation software.

What are typical daily tasks for a computational material science professional?

Daily tasks for a Computational Material Science professional often include developing and running computer simulations to investigate material properties, analyzing data from these simulations, and collaborating with experimental scientists to compare computational predictions with laboratory results. You may spend significant time programming, writing reports, and presenting your findings to colleagues or industry partners. You'll typically work within a multidisciplinary team, where clear communication and project coordination are crucial. The balance between independent computational work and collaborative meetings helps ensure innovative solutions to complex material challenges.

What are the key skills and qualifications needed to thrive in computational material science?

To thrive in Computational Material Science, you need a strong background in materials science, physics, and computational modeling, usually supported by an advanced degree such as a Master's or Ph.D. Proficiency with simulation software (like VASP, LAMMPS, or Quantum ESPRESSO), high-performance computing environments, and programming languages like Python or C++ is often required. Strong analytical thinking, problem-solving ability, and effective teamwork and communication skills help set professionals apart in this field. These skills are essential for designing, analyzing, and optimizing materials using computational techniques, often as part of collaborative, interdisciplinary research teams.

What jobs can I get with a computational material science degree?

A computational material science degree prepares individuals for roles such as materials scientist, computational researcher, or simulation engineer. These jobs often involve using modeling software, programming skills, and knowledge of materials properties to develop new materials or improve existing ones in industries like aerospace, electronics, and energy. Additional certifications or experience with tools like MATLAB, Python, or molecular dynamics software can enhance job prospects.

What are the most commonly searched types of Computational Material Science jobs in Maryland?

The most popular types of Computational Material Science jobs in Maryland are:

What are popular job titles related to Computational Material Science jobs in Maryland?

For Computational Material Science jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Computational Material Science jobs in Maryland look for?

The top searched job categories for Computational Material Science jobs in Maryland are:

What cities in Maryland are hiring for Computational Material Science jobs?

Cities in Maryland with the most Computational Material Science job openings:

Computational Material Science jobs near you
Infographic showing various Computational Material Science job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $77,134 per year, or $37.1 per hour.

Computational Mechanics Engineer

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

$85K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 74 rated research

Job description

Description
Are you a creative person driven to solve new problems?
Are you searching for impactful work in computational engineering and analysis that doesn't confine you to working on the same thing year after year?
Does making meaningful contributions to projects that span submarines, surface ships, UAVs, aircraft, missiles, and spacecraft sound like a dream job?
If so, we're looking for someone like you to join our team at APL.
We are seeking a Computational Mechanics Engineer to solve impactful problems by modeling key physical processes in complex systems. As a member of our team, you will contribute to exciting projects supporting the U.S. Department of War and other government agencies. Our team strives to develop, apply, and maintain deep expertise in multiscale modeling techniques that give insight across a broad range of length and time scales. You will work alongside analysts, designers, and fabricators who have a passion for bringing our models to physical systems that advance the state-of-the-art and have real-world impact.
As a Computational Mechanics Engineer, you will:
  • Build models to simulate a broad range of static and dynamic events that may include blast, impact, penetration, structural strength, fluid dynamics, fluid-structure interaction, and material model calibration.
  • Select from and leverage a range of advanced software tools including Abaqus, ABSTRAO, ALE3D, Cheetah, Ansys, CTH, COMSOL, Fluent, IMPETUS, LS-DYNA, NASTRAN, and Thermal Desktop to provide the best possible solution for a given problem.
  • Collaborate regularly with engineers, designers, fabricators, and scientists.
  • Propose future projects and initiatives with multidisciplinary teams.
  • Craft reports and give presentations to communicate results to team members and government partners.

We're looking for talented and versatile computational engineers who are excited to expand their analytical toolbox. If you have experience in any of the methods or tools above, and are motivated to learn even more, we want to talk to you.
Qualifications
You meet our minimum qualifications for the job if you have...
  • A Bachelor's Degree in Mechanical Engineering, Aerospace Engineering, Physics, Applied Mathematics, Materials Science, or equivalent with demonstrated application of knowledge.
  • 1+ years demonstrated experience in FEA or related computational modeling.
  • Interest in working on military projects that include energetics, munitions, blast, and impact.
  • Scientific/engineering programming experience, with the ability to work in at least one language (MATLAB, C/C++, Python, FORTRAN, etc.) using common algorithms in computational science and engineering.
  • Demonstrated ability to work independently and collaboratively within a multidisciplinary team.
  • Ability to multi-task on projects.
  • Excellent verbal and written communication skills.
  • Willingness and ability to travel occasionally to attend meetings or tests at other government and contractor sites.
  • Ability to work in closed area facilities.
  • Are able to obtain a Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you have...
  • A MS or PhD in Mechanical Engineering, Aerospace Engineering, Physics, Applied Mathematics, Materials Science, or equivalent with demonstrated application of knowledge.
  • Education or experience in the design, analysis, fabrication, and use of energetics and munitions.
  • Experience using high-performance computing or other cluster computing environments with job schedulers (Slurm, PBS, etc.)
  • Experience using hardware accelerators (e.g. GPUs) and familiarity with parallel programming techniques (MPI/OpenMP).
  • Experience applying artificial intelligence or machine learning methods to computational modeling and simulation workflows.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact [email protected].
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$85,000 Annually
Maximum Rate
$195,000 Annually

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