2026 Graduate - Engineer/Scientist - Resilient Military Systems

Johns Hopkins Applied Physics LaboratoryLaurel, MD
Onsite

About The Position

This position is for individuals graduating with a Bachelor’s degree in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, Mathematics, Physics, or related fields, who want to contribute to national security missions. The role involves analyzing and evolving the architecture, design, constraints, and cyber requirements of military platforms/systems and spacecrafts. The team collaborates 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. Responsibilities include enhancing the design of ships, subs, aircraft, spacecrafts, autonomous military systems, and weapons to increase resilience to cyberspace attacks, developing valuable skills in software development, systems engineering, and/or modeling and simulation, and collaborating with team members to define and design robust and resilient solutions for military and tactical systems in adverse cyber environments. Internal funding opportunities can be used to direct future research.

Requirements

  • 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.
  • 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.
  • Experience applying data science, mathematical modeling, and/or machine learning (ML) and artificial intelligence (AI) techniques to solve cybersecurity problems.
  • Demonstrated 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.
  • Able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top Secret level clearance.
  • U.S. citizenship.

Nice To Haves

  • 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).

Responsibilities

  • Enhance the design of ships, subs, aircraft, spacecrafts, autonomous military systems, and weapons to increase resilience to cyberspace attacks.
  • Develop valuable skills in software development, systems engineering, and/or modeling and simulation.
  • 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.
  • Use internal funding opportunities to craft the direction of future research.

Benefits

  • Robust education assistance program
  • Unparalleled retirement contributions
  • Healthy work/life balance
  • Retirement plans
  • Paid time off
  • Medical
  • Dental
  • Vision
  • Life insurance
  • Short-term disability
  • Long-term disability
  • Flexible spending accounts
  • Education assistance
  • Training and development
  • Sign-on bonus
  • Relocation benefits
  • Locality allowance
  • Discretionary payments for exceptional performance
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