Computational Materials Engineer information
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$68K is the 25th percentile. Wages below this are outliers.
$59.5K - $68K
25% of jobs
The median wage is $76.1K / yr.
$68K - $76.6K
26% of jobs
$76.6K - $85.1K
6% of jobs
$85.1K - $93.7K
8% of jobs
$100.7K is the 75th percentile. Wages above this are outliers.
$93.7K - $102.2K
11% of jobs
$102.2K - $110.8K
11% of jobs
$110.8K - $119.3K
6% of jobs
$119.3K - $127.9K
4% of jobs
$127.9K - $136.4K
1% of jobs
$136.4K - $145K
0% of jobs
$145K - $153.5K
1% of jobs
How much do computational materials engineer jobs pay per year?
As of Sep 12, 2026, the average yearly pay for computational materials engineer in the United States is $90,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $105,000.00 per year, depending on experience, location, and employer.
A Computational Materials Engineer uses computer simulations and modeling techniques to understand, design, and optimize materials for various applications. They apply principles from physics, chemistry, and engineering to predict how materials will behave under different conditions, which helps in developing new materials with specific properties. Their work often involves using specialized software and high-performance computing resources to analyze atomic or molecular structures. This approach accelerates the discovery and improvement of materials used in industries like aerospace, electronics, and energy.
To thrive as a Computational Materials Engineer, you need a strong background in materials science, physics, and engineering, typically supported by a relevant degree such as materials science, chemical engineering, or physics. Proficiency in simulation software (such as VASP, LAMMPS, or COMSOL), programming languages (like Python or MATLAB), and experience with high-performance computing environments are essential. Strong analytical thinking, attention to detail, and effective collaboration and communication skills help you interpret complex data and work within multidisciplinary teams. These competencies are crucial for developing innovative materials solutions, optimizing material properties, and advancing research and development in various industries.
Computational Materials Engineers often collaborate with experimental scientists, mechanical engineers, and product designers. One common challenge is effectively communicating complex simulation results and theoretical predictions in a way that is accessible to team members with different backgrounds. Additionally, aligning computational findings with experimental data can require patience and flexibility, as discrepancies may arise due to real-world variables not accounted for in models. Success in this role often depends on strong communication skills, adaptability, and a willingness to learn from various disciplines.
What cities are hiring for Computational Materials Engineer jobs?
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What states have the most Computational Materials Engineer jobs?
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