Graduate - Engineer​/Scientist - Resilient Military Systems

Overview

2026 Graduate - Engineer/Scientist - Resilient Military Systems at Johns Hopkins Applied Physics Laboratory.

• Analyze and evolve the architecture, design, constraints, and cyber requirements of military platforms/systems and spacecrafts.
• Collaborate with industry, academia, and government to study, design, develop, implement, and test cyber capabilities applied to air, afloat, ground, and undersea military and/or tactical platforms and systems.
• Enhance the design of ships, subs, aircraft, spacecrafts, autonomous military systems, and weapons to increase resilience to cyberspace attacks.
• Possess skills in software development, systems engineering, and/or modeling and simulation.
• Collaborate with team members to define and design robust and resilient solutions for acquisitions, operations and sustainment of military and tactical systems in adverse cyber environments.
• Use internal funding opportunities to craft the direction of future research.

• Bachelor’s degree in Computer Science, Computer Engineering, Systems Engineering, Mechanical Engineering, Electrical Engineering, Mathematics, Physics, or a related field.
• Educational background or interest in at least one of the following: programming in Python, Java, Golang, Rust, C, or C++; software development, testing, and deployment (preferably in cybersecurity); experience with requirements analysis per INCOSE or IEEE/ISO; data science/mathematical modeling/ML/AI for cybersecurity problems.
• Ability to work in teams as a leader and/or contributor; excellent written and verbal communication skills.
• Ability to travel up to 10% and work in classified environments.
• Eligibility to obtain Interim Secret clearance by start date and ultimately Top Secret clearance; U.S. citizenship required.

• Master’s degree in Computer Science, Computer Engineering, Systems Engineering, or Software Engineering.
• Experience with computer networks and network analysis tools (e.g., Wireshark); MBSE experience; capability to mitigate cyber risk within budget and operational constraints.
• Experience with system-of-systems modeling tools (e.g., Cameo) and simulation/advanced analytics; experience with virtual machines and network configurations (e.g., ESXi, Hyper-V).

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to national defense, security, space and science challenges. APL offers a collaborative culture, generous benefits, education assistance, retirement contributions, and work-life balance. APL is located in the Baltimore-Washington metro area. Learn more about opportunities at http://(Use the "Apply for this Job" box below)..

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, disability, veteran status, or any other characteristic protected by law. APL is committed to reasonable accommodations for individuals with disabilities. For accommodations, contact Accommodations.

The referenced pay range is based on JHU APL’s good faith belief ual compensation may vary based on factors such as location, experience, and skill level.

Laurel, MD