Modeling and Simulation Engineer

Booz Allen Hamilton•Dayton, OH

About The Position

Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact on national security? You understand your customer’s environment and how to develop the right advanced tools for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer-focused engineering solution. As a Modeling and Simulation (M&S) Engineer on our team, you’ll have the chance to impact national defense as a critical member of our research and development team. Your customer will trust you to not only design and develop these tools and capabilities, but also evolve them with advanced technology solutions. As an M&S Engineer, you will design and implement advanced models to evaluate system performance and support strategic decision-making. Join our team and create the future of national defense on the leading edge of research and development.

Requirements

5+ years of experience performing modeling and quantitative analysis, including discrete event simulation, agent-based modeling, network simulations, physics-based modeling, Stochastic processes, or Monte Carlo analysis
5+ years of experience working with object-oriented programming languages and environments such as Python, Java, C++, C#, R, or MATLAB
2+ years of experience with EO/IR modeling and simulation software to construct scenes meeting criteria to investigate research questions
Ability to be proactive with assigned tasks and learn and apply new methods as required by the analysis
Ability to effectively and clearly communicate and establish collaborative relationships with government clients
Ability to work collaboratively and independently, demonstrating initiative to complete complex tasks
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor’s degree in a Science, Technology, Engineering or Mathematics (STEM) field

Nice To Haves

Experience designing, developing, and optimizing large-scale computational simulations within high-performance computing environments for complex aerodynamic engineering and scientific applications
Experience in image processing, projective geometry, and computer vision techniques
Experience with parallel programming languages and frameworks such as MPI, OpenMP, CUDA, and OpenCL
Experience with Linux or Unix systems
Knowledge of numerical methods and scientific computing libraries such as BLAS, LAPACK, and PETSc
Doctorate degree in a Science, Technology, Engineering or Mathematics (STEM) field

Responsibilities

Design and develop advanced tools and capabilities
Evolve tools and capabilities with advanced technology solutions
Design and implement advanced models to evaluate system performance and support strategic decision-making