Modeling & Simulation Engineer

Johns Hopkins Applied Physics LaboratoryFort Walton Beach, FL
Onsite

About The Position

Would you be interested in helping shape the next generation of US defense capability? Are you looking for meaningful work developing physics-based simulations for innovative technologies to support our warfighters while working with an employer that prioritizes impact, innovation, and personal development? If so, we're looking for someone like you to join our team at APL! We are seeking a creative, motivated engineer to help us develop simulations of US weapons, threat missiles, and submersibles. You will have opportunities to develop groundbreaking solutions to the nation 's toughest multidisciplinary problems. Our group has a well-rounded mix of people that like to explore, build, share, invent, and collaborate.

Requirements

  • Possess at least a Bachelor's degree in Engineering, Physics, Computer Science, Applied Mathematics, or another related technical field with 5 years technical experience.
  • Have the capability to independently develop models, execute technical analysis, compile and validate results, and present to external sponsors.
  • Have demonstrated ability developing physics-based models and simulations.
  • Have significant experience with MATLAB/Simulink, Python, and/or C++.
  • Have some background in missile flight dynamics or guidance and control.
  • Are able to work directly with program sponsors, including attending onsite meetings at sponsor locations.
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a 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.

Nice To Haves

  • Possess a Master's degree or PhD in Engineering, Physics, Computer Science, Applied Mathematics, or another related technical field.
  • Have 10+ years of technical experience.
  • Have a background in researching and developing vehicle designs for multiple applications, including missiles, hypersonics, autonomous aerial vehicles, autonomous underwater vehicles, and submersibles.
  • Have an ability to absorb perspectives of a sophisticated system that may be unfamiliar to you from assorted team members and form them into a cohesive system-level view.
  • Have experience in balancing analysis fidelity to answer questions.
  • Have enough depth with numerical methods to understand/bypass potential shortfalls and can choose well-suited algorithms for a given problem.
  • Have experience developing and maintaining large software architectures.
  • Have demonstrated experience in performing multidisciplinary analysis and optimization (MDAO).
  • Hold a DoD Secret Clearance.

Responsibilities

  • Connecting with other teams to participate in the full pipeline of system development, from conception to integration.
  • Contributing to and possibly leading technical teams to develop and modifying algorithms and physics-based models implemented in dynamic simulations using MATLAB/Simulink and modern C++.
  • Building high fidelity, six degree-of-freedom simulations and using them to analyze the performance of a variety of systems.
  • Working across subject areas to solve multidisciplinary problems and ensuring we provide our sponsors with the best solutions. This could range from supporting pre-design efforts to the testing of hardware prior to deployment.
  • Working directly with program sponsors to understand and communicate sponsor needs to the broader APL team and communicating technical outputs back to the sponsor.

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
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