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Scientific Software Jobs (NOW HIRING)

OpenEye, Cadence Molecular Sciences, an industry leader in computational molecular design, uses a scientific approach to deliver rapid, robust, and scalable software, toolkits, and technology ...

... core software for Viridien's proprietary high-performance computing applications on GPU and CPU architectures, this position requires a deep understanding of computational science (especially ...

... core software for Viridien's proprietary high-performance computing applications on GPU and CPU architectures, this position requires a deep understanding of computational science (especially ...

... core software for Viridien's proprietary high-performance computing applications on GPU and CPU architectures, this position requires a deep understanding of computational science (especially ...

OpenEye, Cadence Molecular Sciences, an industry leader in computational molecular design, uses a scientific approach to deliver rapid, robust, and scalable software, toolkits, and technology ...

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Scientific Software information

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$83.5K

$102.5K

$135.5K

How much do scientific software jobs pay per year?

As of Jun 19, 2026, the average yearly pay for scientific software in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

How does a Scientific Software professional typically collaborate with domain scientists and research teams?

Scientific Software professionals often work closely with domain scientists, researchers, and data analysts to develop and maintain tools that enable scientific discovery. Collaboration usually involves requirements gathering, iterative feedback on prototypes, and integrating scientific algorithms into user-friendly applications. Effective communication skills are crucial, as you’ll be translating complex scientific needs into robust, efficient code and ensuring the software meets both research objectives and usability standards. Team environments tend to be interdisciplinary, offering the opportunity to learn from experts in various scientific fields while contributing your technical expertise.

What are the key skills and qualifications needed to thrive in Scientific Software roles, and why are they important?

To excel in Scientific Software roles, you need a strong background in computer science, mathematics, or a scientific discipline, along with demonstrated programming proficiency (often in Python, C++, or MATLAB). Familiarity with version control systems (like Git), scientific computing libraries, and sometimes specialized tools (e.g., HPC clusters or cloud platforms) is typically expected. Strong analytical thinking, problem-solving, and effective communication skills help bridge the gap between scientific users and technical implementation. These skills ensure the creation of robust, efficient, and user-friendly software that accelerates scientific research and discovery.

What is a scientific software developer?

A scientific software developer is a professional who designs, creates, and maintains software tools and applications used for scientific research and data analysis. These developers work closely with scientists and researchers to translate complex scientific problems into computational solutions. Their work often involves programming, algorithm development, and optimizing code for high-performance computing environments. Scientific software developers play a critical role in fields like physics, biology, chemistry, and engineering by enabling researchers to process and visualize large datasets, simulate experiments, and gain insights from data.

What is the difference between Scientific Software vs Data Analyst?

AspectScientific SoftwareData Analyst
Required CredentialsTypically requires degrees in science, engineering, or computer science; coding skillsUsually requires degrees in statistics, mathematics, or related fields; strong analytical skills
Work EnvironmentResearch labs, scientific institutions, academia, industry R&DBusiness, finance, healthcare, marketing sectors
Employer & Industry UsageUsed by scientists and engineers for simulations, modeling, data analysisUsed by companies for data interpretation, reporting, decision-making

Scientific Software professionals focus on developing and utilizing specialized tools for scientific research and simulations, often working in research environments. Data Analysts interpret data to inform business decisions across various industries. While both roles require analytical skills and familiarity with data, Scientific Software roles emphasize scientific computing and programming, whereas Data Analysts focus on data interpretation and visualization.

More about Scientific Software jobs
What cities are hiring for Scientific Software jobs? Cities with the most Scientific Software job openings:
What states have the most Scientific Software jobs? States with the most job openings for Scientific Software jobs include:

Scientific Software Engineer

Riverside Research Institute

Champaign, IL • On-site

$117K - $195K/yr

Full-time

Posted 15 days ago


Job description

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the countrys most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.

Riverside Research’s Applied Mathematics and Physics Solutions Division is seeking an experienced Scientific Software Engineer to join our team in developing our high-performance computing (HPC) electromagnetic analysis simulation toolset. The candidate will add new features to our codebase and modernize some of the legacy sections. Our developers are involved in all phases of the software development lifecycle, including requirements analysis, design, coding, testing, debugging, documenting and peer-reviewing other team members’ code.  Our software product is a state-of-the-art computational electromagnetic (CEM) tool for the defense industry, where efficiency and high-performance really matter. You will collaborate closely with our diverse team of physicists, engineers, mathematicians and developers. We expect our developers to be knowledgeable in algorithm design, code efficiency, compiler optimization, high-performance computation, parallel programming and be able to follow software development best practices.


  • Design, implement, optimize, and maintain HPC CEM applications written in C++, Fortran, and Python by collaborating with physicists, RF engineers, and applied mathematicians.
  • Implement new features and correct known issues while participating in all stages of the software development lifecycle, including requirements analysis, software architecture definition, design reviews, code reviews, and continuous integration testing.
  • Produce robust and scalable software designs that balance today’s requirements with expectations of future needs.
  • Optimize code performance with your knowledge of parallelization, vectorization, compilers, code profilers, scalability testing, algorithm efficiency, and design patterns.
  • Develop new and port existing code to execute on graphics processing units (GPUs).
  • Perform analysis of alternatives when multiple solutions exist and present them to users.
  • Create and maintain user and developer documentation.
  • Keep up to date with state-of-the-art software engineering practices.
  • Follow the organization’s established code development standards and practices.
  • Other duties as assigned.

Required Qualifications:

  • Ability to obtain and maintain a TS/SCI security clearance.
  • Experience programming and debugging non-trivial projects in low-level languages such as C, C++, or Fortran.
  • Demonstrated ability to build and maintain complex production-quality software.
  • Experience working with one or more of the following:
    • HPC/supercomputing;
    • Code optimization;
    • Computer simulation;
    • Physics-based modeling and simulation; or
    • Scientific computing.
  • Excellent communication skills and ability to work in and with a team.
  • Education and Experience:
    • Degree in Computer Science, Computer Engineering, or a related field with software development experience.
    • Bachelor's with 5+ years of experience, or
    • Master's with 2+ years of experience, or
    • PhD with 0 years of experience
    • Relevant years of experience may be substituted in lieu of a degree.
  • A willingness to learn and perform other duties as assigned.
  • Ability to travel (less than 10%).

Desired Qualifications:

  • Expertise in C++11 and newer.
  • Familiarity with HPC/supercomputing: MPI, OpenMP, multi-threading, and GPUs.
  • Familiarity with developing cross-platform (Windows and Linux) software.
  • Familiarity with Python or other similar high-level languages.
  • Familiarity with CMake and CTest.
  • Familiarity with 3D data visualization.
  • Familiarity with radiofrequency (RF) and radar system concepts such as fields, antenna patterns, radar cross section (RCS), range profiles, and similar.
  • Experience with numerical algorithms and techniques for scientific software applications.
  • Experience with Atlassian tools (Jira, Bitbucket, Bamboo, and Confluence) and git.

$95,000 - $200,000 This represents the typical compensation range for this position based on experience, location and other factors.
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veterans status or any other status legally protected by applicable federal, state, and local law.