Modeling & Simulation Engineer

Johns Hopkins Applied Physics Laboratory•Laurel, MD

About The Position

The Modeling & Simulation Engineer develops physics-based simulations of U.S. weapons, threat missiles, and submersibles to support defense capabilities and warfighters. The role contributes to multidisciplinary technical efforts across the system-development pipeline, from conception through integration, and may include leading technical teams. The engineer develops and modifies algorithms and physics-based models for dynamic simulations using MATLAB/Simulink and modern C++. The work includes building high-fidelity, six-degree-of-freedom simulations and analyzing system performance. Projects may range from pre-design analysis to testing hardware before deployment, with collaboration across subject areas to deliver solutions to sponsors.

Requirements

Bachelor's degree or higher in Engineering, Physics, Computer Science, Applied Mathematics, or another related technical field.
At least 3 years of technical or analytical experience.
Ability to independently execute technical analysis, compile and validate results, and present them to external sponsors.
Demonstrated ability to develop physics-based models and simulations.
Significant experience with MATLAB/Simulink, Python, and/or C++.
Ability to obtain an Interim Secret security clearance by the start date and ultimately obtain a Secret clearance; U.S. citizenship is required for eligibility.

Nice To Haves

Master's degree or PhD in Engineering, Physics, Computer Science, Applied Mathematics, or another related technical field.
10 or more years of technical experience.
Background in guidance, navigation, and control.
Experience researching and developing vehicle designs for multiple applications, including missiles, hypersonics, autonomous aerial vehicles, autonomous underwater vehicles, and submersibles.
Ability to absorb perspectives from team members about an unfamiliar, sophisticated system and form a cohesive system-level view.
Experience balancing analysis fidelity to answer questions.
Depth in numerical methods sufficient to recognize or bypass potential shortfalls and choose suitable algorithms for a problem.
Experience developing and maintaining large software architectures.
Demonstrated experience performing multidisciplinary analysis and optimization (MDAO).
DoD Secret clearance.

Responsibilities

Connect with other teams and participate in the full system-development pipeline, from conception to integration.
Contribute to and potentially lead technical teams developing and modifying algorithms and physics-based models for dynamic simulations.
Build high-fidelity, six-degree-of-freedom simulations and use them to analyze the performance of a variety of systems.
Work across subject areas to solve multidisciplinary problems and provide sponsors with effective solutions, including support for pre-design efforts and hardware testing before deployment.
Independently execute technical analysis, compile and validate results, and present results to external sponsors.