Modeling and Simulation Engineer – Integration and Analysis

Johns Hopkins Applied Physics Laboratory•Laurel, MD

12h•Onsite

About The Position

We are seeking a Modeling and Simulation (M&S) Engineer who will work in a collaborative environment to develop and deploy integrated M&S software applications, and utilize them for performance analysis of combat system components. You will be joining a hardworking team of engineers and scientists who are passionate about developing high-impact solutions at the forefront of APL's mission to provide innovative solutions to critical challenges in the area of missile defense.

Requirements

Possess a Bachelor's degree in Math, Computer Science, Electrical Engineering or a related field.
Have 2+ years of experience in software development and integration.
Are proficient in Python and C++ with the ability to translate mathematical concepts into well-documented and efficient code.
Are adept with software revision control practices (e.g.: Git).
Are familiar with software build systems like Make/CMake.
Are comfortable using a debugger to troubleshoot code in a Linux environment.
Can effectively communicate ideas and results.
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain 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

Have an MS or higher degree in Engineering, Math, Computer Science, or a related field.
Have 5+ years of experience in software development, integration, deployment, and maintenance.
Are competent in a wide variety of programming languages, including MATLAB, C++, Python, and Java, on both Linux and Windows platforms.
Are familiar with advanced programming language concepts such as object-oriented features, templates, lambdas, map-reduce techniques, and stream-style collection manipulation.
Are proficient with Linux shell scripting (bash, zsh, etc.).
Have software development experience in parallel processing and multi-threaded applications.
Have worked with discrete-time, event-driven simulations.
Have experience with distributed simulation technologies like DIS, AFSIM, and HLA.
Have experience using high-performance computing environments like GPUs and CPU clusters.
Have knowledge and experience with AI/ML technologies and MLOps practices.
Have work experience with containerization and running containers using Podman or Docker.
Have the ability to obtain a Top Secret clearance.

Responsibilities

Work in cross-functional research teams to identify and recommend the most suitable modeling and simulation approaches for study objectives.
Architect integrated software solutions to optimize simulation workflows and support rigorous analysis.
Develop integration layers to connect software applications and enable them to interoperate.
Create and maintain scripts to orchestrate and automate large-scale simulation runs.
Insert algorithm prototypes into existing models, to support concept exploration and feasibility studies for the development of future advanced capabilities.
Diagnose and debug software defects while tracing and root causing anomalous simulation outcomes.
Analyze simulation outputs and translate results into clear insights for the research sponsor.
Deliver presentations to technical staff, program leadership, and government sponsors.