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60 Software Engineering Institute Jobs Hiring in Virginia

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 ...

Hamrick Recruiting

Splunk Engineer Jr.

Ashburn, VA

... SEI (Software Engineering Institute), CCSP - Certified Cloud Security Professional, CISSP - Certified Information Systems Security, CSSLP - Certified Secure Software Lifecycle Professional, SSCP ...

Hamrick Recruiting

Splunk Engineer Jr.

Ashburn, VA

... SEI (Software Engineering Institute), CCSP - Certified Cloud Security Professional, CISSP - Certified Information Systems Security, CSSLP - Certified Secure Software Lifecycle Professional, SSCP ...

Cmu

Reverse Engineer Researcher

Arlington, VA

The CERT Division of the Software Engineering Institute (SEI) is seeking an applicant for the role of a Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is a federally funded ...

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AI Security Software Engineer

Software Engineering Institute | Carnegie Mellon University

Arlington, VA • On-site

Full-time

Re-posted 11 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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