Johns Hopkins Applied Physics Laboratory · 4 months ago
2026 Graduate - Engineer/Scientist - Resilient Military Systems
Johns Hopkins Applied Physics Laboratory is dedicated to solving complex challenges in defense, security, space, and science. They are seeking recent graduates with a Bachelor's degree in relevant fields to analyze and evolve military systems and spacecraft while enhancing their resilience to cyber attacks.
EducationUniversities
Responsibilities
You will enhance the design of ships, subs, aircraft, spacecrafts, autonomous military systems, and weapons to increase the resilience to cyberspace attacks
You will possess valuable skills in the areas of software development, systems engineering, and/or modeling and simulation
You will collaborate with team members in the definition and design of robust and resilient solutions for the acquisitions, operations and sustainment of military and tactical systems in the presence of adverse cyber environments
You can use internal funding opportunities to craft the direction of future research
Qualification
Required
A Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, Mechanical Engineering, Electrical Engineering, Mathematics, Physics, or a field relevant to the duties as described
Have an educational background or specialization interest in at least one of the following categories: Proficiency in one or more programming languages such as Python, Java, Golang, Rust, C, or C++
Proven experience in software development, testing, and deployment, preferably in a cybersecurity context
Experience writing, analyzing, performing gap analysis, or validating requirements in accordance with INCOSE or IEEE/ISO standards
Have experience applying data science, mathematical modeling, and/or machine learning (ML) and artificial intelligence (AI) techniques to solve cybersecurity problems
Demonstrated the ability to work in teams as a leader and/or a contributor
Proven demonstration as a critical thinker, developing solutions to complex problems
Excellent communication skills, both written and verbal
Ability to occasionally travel (up to 10%) and work as required in classified areas
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top Secret level 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
Preferred
A Master's degree in Computer Science, Computer Engineering, Systems Engineering, or Software Engineering
Experience with computer networks and network analysis tools (e.g., Wireshark, Suite)
Engineering experience in the area of model-based systems engineering (MBSE)
Experience developing solutions that inhibit or mitigate operational impact from cyberspace attack given constraints of funding, operations, performance and/or organization
Experience using tools such as Cameo or other industry standards for developing complex systems-of-systems models
Hands-on experience planning, developing, and using simulation capabilities and advanced analytics for analyzing complex problems
Experience with virtual machines, virtual networking, and/or hypervisor configuration/management (e.g., ESXi, Hyper-V)
Benefits
Generous benefits
Robust education assistance program
Unparalleled retirement contributions
Healthy work/life balance
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
Company
Johns Hopkins Applied Physics Laboratory
The Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center (UARC) that provides solutions to complex national security and scientific challenges with technical expertise and prototyping, research and development, and analysis.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
U.S. Department of Homeland Security
2023-01-17Grant
Leadership Team
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2025-12-20
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2025-12-19
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