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Scientific Applications Software Engineer Jobs (NOW HIRING)

DSP Applications Software Engineer

Austin, TX ยท On-site

$154K - $231K/yr

We are looking for an DSP applications software engineer to work in a team responsible for ... OR Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related ...

DSP Applications Software Engineer

Austin, TX ยท On-site

$127K - $190K/yr

We are looking for an DSP applications software engineer to work in a team responsible for ... OR Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related ...

DSP Applications Software Engineer

Austin, TX ยท On-site

$127K - $190K/yr

We are looking for an DSP applications software engineer to work in a team responsible for ... OR Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related ...

Applications Software Engineer

San Diego, CA ยท On-site

$107K - $195K/yr

Leidos has a new and exciting opportunity for a Applications Software Engineer in our INTEL Sector ... Basic Qualifications: * BS Degree in Computer Science or equivalent and 8+ years of relevant ...

Applications Software Engineer

San Diego, CA ยท On-site

$107K - $195K/yr

Leidos has a new and exciting opportunity for a Applications Software Engineer in our INTEL Sector ... Basic Qualifications: * BS Degree in Computer Science or equivalent and 8+ years of relevant ...

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Showing results 1-20

Scientific Applications Software Engineer information

See salary details

$50.5K

$110.7K

$152K

How much do scientific applications software engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for scientific applications software engineer in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a scientific applications software engineer?

A Scientific Applications Software Engineer is a professional who designs, develops, and maintains software applications used for scientific research and analysis. They work closely with scientists and researchers to understand their computational needs and create tools that enable data analysis, simulation, and visualization. Their work often involves programming in languages like Python, C++, or MATLAB, and integrating software with laboratory instruments or high-performance computing systems. This role requires both strong programming skills and a good understanding of scientific concepts relevant to their field.

What are the key skills and qualifications needed to thrive as a scientific applications software engineer?

To thrive as a Scientific Applications Software Engineer, you need strong programming abilities (often in Python, C++, or Java), a solid background in mathematics or science, and typically a degree in computer science, engineering, or a related field. Familiarity with scientific computing libraries (like NumPy, SciPy), high-performance computing systems, and version control tools is essential, and certifications in relevant programming languages or platforms are beneficial. Analytical thinking, problem-solving, and effective collaboration with researchers are crucial soft skills for success in this role. These skills ensure the efficient development, optimization, and support of specialized software that advances scientific research.

What are some common challenges scientific applications software engineers face when developing software for research environments?

Scientific Applications Software Engineers often encounter challenges related to integrating complex scientific algorithms with user-friendly software interfaces. They must ensure that the applications are both computationally efficient and adaptable to evolving research needs, which may require frequent collaboration with scientists to clarify requirements. Additionally, maintaining code quality and reproducibility in rapidly changing research projects can be demanding, as the software must be robust enough to support rigorous scientific analysis while accommodating new data types and methods.

What is the difference between Scientific Applications Software Engineer vs Data Scientist?

AspectScientific Applications Software EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, scientific institutions, tech companiesBusiness, tech companies, research organizations
Industry UsageDevelops scientific software, simulations, data analysis toolsAnalyzes large datasets, builds predictive models, data visualization

While both roles involve data analysis and programming, Scientific Applications Software Engineers focus on developing software for scientific research and simulations, whereas Data Scientists primarily analyze data to extract insights and build models. The roles often overlap in skills but differ in their core objectives and application areas.

What are popular job titles related to Scientific Applications Software Engineer jobs?

For Scientific Applications Software Engineer jobs, the most frequently searched job titles are:

Infographic showing various Scientific Applications Software Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $110,698 per year, or $53.2 per hour.

Applications Software Engineer

San Diego, CA โ€ข On-site

Quest Oracle Community
IT Servicesย โ€ขย 11 - 50 employees

$150 - $200/hr

Other

Medical, Retirement, PTO

Posted 3 days ago

New


Job description

Leidos has a new and exciting opportunity for a Applications Software Engineer in our INTEL Sector's Cyber & Analytics Business Area (CABA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security!

PROGRAM SUMMARY:

Product development includes tactical mobile development as well as enterprise web application development. The portfolio of products support the Cybersecurity and Information Assurance domains. These systems deploy a variety of technologies and communicate with infrastructure interfaces to bring secure, modern-day Cybersecurity and Cryptographic Key Management solutions to the warfighter.

Primary Responsibilities:

The successful candidate will work on a mix of web service development, full stack web application development and robust persistence layer implementations in an Agile Scrum environment. This involves the use of Themes, Epics, User Stories, acceptance criteria and other system engineering artifacts as part of an Agile team. He/she will use a variety of software engineering best practices and clean coding techniques to ensure that developed code is maintainable, efficient, reliable, understandable, secure, fault tolerant and meets S.O.L.I.D coding principles.

The candidate will be knowledgeable about (and apply) secure software development principles and techniques. He/she will use software tools in cooperation with continuous integration and test automation management process and understand software components and their interface requirements. The candidate will interface with software engineers, system engineers, information assurance engineers, test engineers, quality assurance, and other project team members. He/she will be responsible for setting the standards and helping the team adopt and adhere to Test Driven Development (TDD) practices within the Leidos Agile Framework to ensure the proper degree of engineering rigor is applied to all assigned tasks.

Basic Qualifications:
  • BS Degree in Computer Science or equivalent and 8+ years of relevant experience. Will consider experience in lieu of a degree.
  • Active Secret Clearance (Required)
  • Experience with web-based (HTML, CSS, JavaScript) in a web-based environment
  • Experience in Scrum Methodology or other Agile environments (e.g., SAFe, XP)
  • Experience with UI / Development Frameworks (E.g, AngularJS, Ionic, GWT, SmartGWT, Qt, React, Node.js)
  • Experience with Automated Testing Tools/Technologies/Concepts (Selenium, Cucumber, Gherkin, BDD)
  • Experience with Test Driven Development (TDD)
  • Works well in a team environment and has excellent written and communication skills
  • DoD 8570 approved security certification (i.e., Security +) (Will be required 90 days after hire).
Preferred Qualifications:
  • Experience with Web Services Architectures (REST, SOAP, AWS)
  • Experience with Software CM (e.g., Git, GitHub)
  • Experience with Continuous Integration / Quality, and DevOps concepts and tools / technologies (e.g., Ant / Maven, Jenkins, SonarQube, FishEye, Crucible, Gradle, Junit)
  • Experience with Security Scanning (HP Fortify, HP WebInspect)
  • Experience with Build Scripts (e.g., Maven, ANT)
  • Experience with Mobile Application Development
  • Experience with Agile Management Tools and Concepts (e.g., VersionOne, JIRA, Rally, etc.)
  • Experience with Web Server Configuration (e.g., JBOSS, Wildfly, Tomcat)
  • Experience with Database Development (e.g., Postgres, SQL Server, MySQL, SQLite, Oracle)

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:

September 2, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, abilities, internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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