Computational Software Developer information
See Redmond, WA salary details
$53.8K - $65.8K
1% of jobs
$65.8K - $77.8K
4% of jobs
$77.8K - $89.8K
9% of jobs
$101K is the 25th percentile. Wages below this are outliers.
$89.8K - $101.8K
12% of jobs
$101.8K - $113.8K
15% of jobs
The median wage is $121.7K / yr.
$113.8K - $125.8K
14% of jobs
$125.8K - $137.9K
15% of jobs
$142.6K is the 75th percentile. Wages above this are outliers.
$137.9K - $149.9K
13% of jobs
$149.9K - $161.9K
9% of jobs
$161.9K - $173.9K
5% of jobs
$173.9K - $185.9K
3% of jobs
How much do computational software developer jobs pay per year?
As of Aug 17, 2026, the average yearly pay for computational software developer in Redmond, WA is $125,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $145,600.00 per year, depending on experience, location, and employer.
A Computational Software Developer is a professional who designs, develops, and maintains software systems that perform complex mathematical, scientific, or engineering computations. They often work in fields such as scientific research, engineering, finance, and data analysis, creating tools that simulate processes, analyze data, or solve computational problems. These developers typically possess strong programming skills in languages like Python, C++, or MATLAB, and have a solid understanding of algorithms, mathematics, and domain-specific knowledge relevant to their projects.
To thrive as a Computational Software Developer, you need strong programming skills (often in languages like Python, C++, or Java), a solid understanding of algorithms, and typically a degree in computer science, mathematics, or a related field. Familiarity with computational libraries (such as NumPy, SciPy, or TensorFlow), version control systems like Git, and experience with high-performance or parallel computing are commonly required. Analytical thinking, problem-solving abilities, and effective teamwork are vital soft skills for excelling in this role. These skills and qualities enable developers to create robust, efficient computational solutions and collaborate effectively within multidisciplinary teams.
Computational Software Developers often encounter challenges such as optimizing code for high-performance computing, ensuring numerical accuracy, and integrating complex algorithms with existing systems. These challenges can be addressed by staying up-to-date with the latest computational techniques, collaborating closely with domain experts, and utilizing profiling tools to identify performance bottlenecks. Regular code reviews and testing are also essential to maintain reliability and foster knowledge sharing within multidisciplinary teams.
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