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Security Software Engineer Jobs in Virginia (NOW HIRING)

Cmu

AI Security Software Engineer

Arlington, VA · On-site +1

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of AI Security Software Engineer. Established in response to the Morris worm, CERT has been a leader ...

Cmu

Senior AI Security Software Engineer

Arlington, VA · On-site +1

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of Senior AI Security Software Engineer. Established in response to the Morris worm, CERT has been a ...

Socket.dev

Embedded Security Software Engineer

Herndon, VA · On-site

$111.98 - $167.97/hr

Overview of Opportunity Two Six Technologies is actively seeking an Embedded Security Software Engineer to join our Trusted Electronics & Effects team in Herndon, Virginia. The team is composed of ...

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All JobsSecurity Software Engineer JobsSecurity Software Engineer Jobs in Virginia

Security Software Engineer information

See Virginia salary details

$22.8K

$138.4K

$173K

How much do security software engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for security software engineer in Virginia is $138,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $158,600.00 per year, depending on experience, location, and employer.

What is a security software engineer?

Security Software Engineers are professionals who design, develop, and implement software solutions focused on maintaining and enhancing the security of computer systems, applications, and networks. They identify potential security vulnerabilities, create safeguards, and ensure that software products comply with security standards and best practices. Their responsibilities often include code reviews, penetration testing, and collaborating with other developers and IT staff to address security risks throughout the software development lifecycle.

How does a security software engineer typically collaborate with other teams during the software development lifecycle?

Security Software Engineers work closely with development, operations, and quality assurance teams to integrate security best practices throughout the software development lifecycle. They often participate in code reviews, threat modeling sessions, and incident response planning to ensure that security is considered at every stage. Regular communication and collaboration with cross-functional teams help identify potential vulnerabilities early and promote a security-first culture across the organization. This collaborative approach not only strengthens the final product but also provides valuable opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive as a security software engineer, and why are they important?

To thrive as a Security Software Engineer, you need a strong background in computer science, secure coding practices, and cybersecurity principles, often supported by a degree in a related field or relevant certifications. Familiarity with tools such as static and dynamic code analyzers, penetration testing suites, and secure development lifecycle frameworks is essential. Standout professionals demonstrate critical thinking, attention to detail, and strong communication skills to identify vulnerabilities and collaborate with cross-functional teams. These skills and qualities are vital for building resilient software systems and protecting organizations from evolving security threats.

What is the difference between Security Software Engineer vs Security Analyst?

AspectSecurity Software EngineerSecurity Analyst
Required CredentialsBachelor's in CS, cybersecurity certifications (e.g., CISSP, CEH)Bachelor's in IT, cybersecurity certifications (e.g., CISSP, Security+)
Work EnvironmentDevelops security tools, software, and systemsMonitors security alerts, analyzes threats, and responds to incidents
Employer & Industry UsageTech companies, cybersecurity firms, large enterprisesFinancial institutions, government agencies, corporations

Security Software Engineers focus on designing and developing security software and tools, while Security Analysts monitor and respond to security threats. Both roles require cybersecurity certifications and work in similar environments, but their core responsibilities differ significantly.

What are popular job titles related to Security Software Engineer jobs in Virginia?

For Security Software Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Security Software Engineer jobs in Virginia look for?

The top searched job categories for Security Software Engineer jobs in Virginia are:

What are popular job titles related to Security Software Engineer jobs in VA?

For Security Software Engineer jobs in VA, the most frequently searched job titles are:

Security Software Engineer jobs near you
Infographic showing various Security Software Engineer job openings in Virginia as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $138,402 per year, or $66.5 per hour.

AI Security Software Engineer

Software Engineering Institute | Carnegie Mellon University

Arlington, VA • On-site

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Carnegie Mellon University's Software Engineering Institute is seeking an AI Security Software Engineer to advance cybersecurity research and the resilience of software systems. The role involves developing machine learning-based prototypes and collaborating with researchers to address AI security challenges.
Responsibilities:
• Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
• Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
• Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
• Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
• Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team
Qualifications:
Required:
• BS in computer science, machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in the same fields with two (2) years of experience
• Understanding of software engineering principles and system design
• Experience with containerization and microservices architectures
• Travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%)
• You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance
• Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
• Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
• Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
• Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
• Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team
Preferred:
• Experience applying statistical modeling and advanced data analytics techniques
• Background in developing AI/ML solutions in real-world settings
• Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
• Experience and knowledge in cybersecurity best practices
• Demonstrated ability to quickly learn and adapt to new technologies and domains
Company:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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