Strategic System Program Protection Engineer
Listed on 2026-01-12
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Engineering
Cybersecurity, Systems Engineer, Data Science Manager
Description
Are you searching for meaningful work in technical efforts that enable U.S. strategic deterrence objectives to shape and prevail against threats?
Do you enjoy shaping and nurturing a varied portfolio of threat intelligence application and program protection activities that are critical to Navy and Air Force strategic deterrent systems?
Are you passionate about using innovation, emerging technology and insights to solve challenges involving the defense of the U.S. and/or allies?
We are seeking a Strategic Systems Program Protection Engineer to join our team at Johns Hopkins University Applied Physics Laboratory (APL) in Laurel, MD. Our team enables realization of strategic systems, resilience of specialty disciplines in system development, and verification of strategic weapon systems. We lead efforts in systems engineering, system security engineering, test and integration, digital engineering, nuclear command and control, and reliability engineering.
Join a team of motivated and creative research engineers who bring both operational experience and technical ability. We provide vital systems engineering, cybersecurity engineering, and specialty engineering supporting the development of nationally important strategic deterrence capabilities for the Navy and Air Force. You will work with systems engineers on program protection efforts, leveraging threat intelligence for several critical strategic systems development programs.
You will contribute to a variety of projects and have a direct impact on meaningful innovations for our country.
As a Strategic Systems Program Protection Engineer
- Your primary responsibility will be to provide threat intelligence application and program protection expertise to the sustainment and recapitalization of U.S. Nuclear Triad and Strategic Deterrent Systems with emphasis on application of threat intelligence to the protection of development programs, or conduct of program protection efforts.
- You will work with a growing team of researchers, including systems engineering, test and evaluation, physics, cognitive science, social sciences, and cyber security who creatively apply security analysis, data science, behavioral research, and experimental methodologies to research and develop program protection activities, strategic deterrence initiatives, and acquisition/development strategy.
- You will provide technical leadership and direction pertaining applied behavioral science focused in areas such as development and analysis of program protection efforts including development of measures for analysis of effectiveness with tools and methods to enable effectiveness predictions across multi-domain activities.
- You will assure execution of tasks, and quality and timeliness of technical products through the application of best applied behavioral science practices.
- You will engage existing and potential new sponsors to define and develop new opportunities where the group can leverage its experience in support of new programs with critical challenges.
- You will research, investigate, and experiment with existing innovative technologies and look for creative new uses of software technologies to demonstrate system concepts that can be used by sponsors to identify and validate novel operational concepts.
- You will contribute to technical efforts and support program objectives focused on enabling strategic deterrence objectives.
You meet our minimum qualifications for the job if you...
- Have a MS degree in Engineering, Physics, Mathematics, Psychology or a related social/behavioral science/area studies with at least 5 years of technical experience relevant to Intelligence/Program Protection.
- Have a strong background in:
- Working in or with the intelligence community, agencies, and other partners.
- Working in or with the cyber operations community, agencies and other partners.
- Data analysis using both quantitative and qualitative methods.
- Statistical analysis and data management.
- Experimental methods.
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