Graduate - Engineer​/Scientist - Resilient Military Systems

Overview

Do you enjoy solving complex, multi-domain challenges that further the security of our nation?

If you are graduating with a Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, Mathematics, Physics, or related fields, and want to contribute to important national security missions, we'd love to have you join our team!

We are seeking dedicated individuals to analyze and evolve the architecture, design, constraints, and cyber requirements of military platforms/systems and spacecrafts. Our team works collaboratively 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.

As a member of our team...

• 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.

You meet the minimum qualifications for this position if you have:

• A Bachelors 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.

You will go above and beyond our minimum requirements if you have:

• A Masters 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).

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 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, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion,…