Top 1823 Software Engineer Requires Polygraph Jobs

AI-Enabled Cyber Capabilities Developer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $105,000 - $290,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- 5 years
- Disability insurance
- Health insurance
SharePoint Administrator - TS/SCI with Polygraph
General Dynamics Information Technology —Annapolis Junction, MD
- $96,569 - $130,651 a year
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- Travel
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Reverse Engineer / Cyber Capability Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $100,000 - $245,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- Mid-level
- Disability insurance
- Health insurance
Senior Software Engineer (SAS)
General Dynamics Information Technology —Springfield, VA
- $125,800 - $170,200 a year
- Azure
- 5 years
- Bachelor's degree
- Paid time off
- 401(k) matching
Senior Infrastructure/DevSecOps Engineer
CACI —Aurora, CO
- $82,100 - $172,400 a year
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- Background check
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Blockchain Vulnerability Researcher
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $100,000 - $245,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- 5 years
- Disability insurance
- Health insurance
Senior Reverse Engineer / Cyber Capability Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $105,000 - $290,000 a year
- Full-time
- Computer Science
- 5 years
- Master's degree
- Disability insurance
- Health insurance
5G DevOps Engineer
Peraton —College Park, MD
- $104,000 - $166,000 a year
- Full-time
- Bachelor of Science
- System design
- Java
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- Paid holidays
Engineer II - Electrical - Test Systems
BAE Systems Inc. —Westminster, CO
- $79,365 - $134,921 a year
- Full-time
- Bachelor of Science
- Mid-level
- Office
- Health savings account
- Paid holidays
Structural Engineer
Y12 —Oak Ridge, TN
- Construction site
- Pass drug screening
- Mid-level
- Disability insurance
- Health insurance
Structural Engineer
Y12 —Oak Ridge, TN
- Construction site
- Pass drug screening
- Mid-level
- Disability insurance
- Health insurance
DevSecOps Engineer/SME - 4K sign on
Assured Consulting Solutions —Washington, DC
- $185,000 - $200,000 a year
- Full-time
- 5 years
- System design
- Office
Quick Apply
Applied Geospatial ML Engineer
Vantor Services Inc. —Herndon, VA
- $185,000 - $228,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- 401(k) matching
- Pet insurance
Quick Apply
Software Engineer III with TS/SCI Polygraph
Deloitte —Baltimore, MD
- $119,000 - $198,400 a year
- Full-time
- Writing skills
- Bachelor's degree
- Travel
5d
Reliability Engineer
Amentum —McLean, VA
- $100,000 - $125,000 a year
- Full-time
- 5 years
- Computer literacy
- Engineering
- Health savings account
- AD&D insurance
Quick Apply
Expert Systems Engineer
Assured Consulting Solutions —Chantilly, VA
- $185,000 - $215,000 a year
- Full-time
- Computer Science
- Office
- 3 years
Quick Apply
Piping and Relief Design Engineer
Y12 —Oak Ridge, TN
- Bachelor of Science
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- Pass drug screening
- Disability insurance
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Senior Intelligence Analyst, Agentic AI Integration
General Dynamics Information Technology —Arlington, VA
- $144,500 - $195,500 a year
- Writing skills
- Research
- Office
- Paid time off
- 401(k) matching
Data Scientist
Vantor Services Inc. —Reston, VA
- $113,000 - $188,000 a year
- Full-time
- Azure
- Computer Science
- SQL
- 401(k) matching
- Pet insurance
Quick Apply
Principal Software Engineer (Onsite)
Raytheon —Aurora, CO
- $107,500 - $204,500 a year
- Full-time
- System design
- 8 years
- AWS
- Paid holidays
- Disability insurance

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AI-Enabled Cyber Capabilities Developer

Johns Hopkins Applied Physics Laboratory (APL) -
Laurel, MD

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Job Details

Full-time
$105,000 - $290,000 a year

Benefits

Disability insurance
Health insurance
Dental insurance
Flexible spending account
Paid time off
Vision insurance
Life insurance
Retirement plan

Qualifications

AI models
Test scanning software
Software troubleshooting
UNIX
AI platforms (beyond public GPTs)
Machine learning projects
Programming languages
Vuls
Debugging

Full Job Description

Description

Are you passionate about building AI-enabled capabilities that accelerate reverse engineering and vulnerability research?

Do you want to design systems that can reason, plan, use tools, and rapidly demonstrate mission impact?

If so, we want you to join our group of offensive cyber experts! We are seeking reverse engineers, vulnerability researchers, and cyber capability developers who know how to leverage modern AI technology to solve complex cyber challenges. This is not a traditional software development role! It requires designing AI-native architectures, orchestrating tool-using agents, and rapidly iterating on prototypes that demonstrate functional, outcome-driven impact. We work in a dynamic, mission-driven environment where our efforts have real-world impact. Collaboration is at the heart of our culture, and we value multidisciplinary perspectives, curiosity, and continuous learning. We encourage our staff to explore emerging technologies, share knowledge, and deepen their expertise as they take on some of the nation’s toughest challenges.

As a member of our group, you will…

Reverse engineer mission-relevant systems and develop innovative exploits
Design and implement agentic AI systems to automate vulnerability research, reverse engineering, and capability development workflows
Collaborate with government sponsors and operators to build mission-aligned capabilities
Integrate large language models, AI services, external tools, and data sources into full-stack applications for cyber use cases
Propose groundbreaking ideas for internal and external funding opportunities
Mentor teammates in the art and science of using AI to enhance offensive cyber capability development
Share knowledge by clearly articulating ideas through papers and presentations to team members, APL management, and government decision makers

Qualifications

You meet our minimum qualifications for the job if you...

Have a Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field
At least 5 years of relevant experience
Have experience developing agentic AI systems including planning, memory, tool use, and multi-step reasoning workflows
Are skilled with software debuggers and static analysis tools such as Ghidra
Have experience with modern AI development platforms such as Claude Code, Gemini, Codex, or Copilot
Are proficient with one or more programming languages
Understand Unix/Linux operating systems
Love solving puzzles and have experience persevering through technical challenges
Hold an active TS/SCI clearance and can ultimately obtain a TS/SCI+Polygraph clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information; eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...

Previously held dynamic technical leadership roles and have demonstrated mentoring experience
Have experience applying AI systems to reverse engineering, vulnerability research, or exploit development
Have experience designing production-grade agent workflows, including orchestration, evaluation, guardrails, observability, and reliability testing
Have familiarity with virtualization, emulation, sandboxing, or automated analysis environments
Have knowledge of advanced vulnerability discovery tools
Possess an active TS/SCI clearance with full scope polygraph

#LI-AG1

About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact [email protected].

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$105,000 Annually

Maximum Rate

$290,000 Annually

Apply Now

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