Modeling and Simulation Engineer

Booz Allen Hamilton•Washington, DC

5h•$69,400 - $158,000•Hybrid

About The Position

As a Modeling and Simulation (M&S) Engineer on our Physical AI 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 agent-based modeling, physics-based modeling, optimization of AI and ML algorithms, and reinforcement learning
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 and 3D modeling and simulation software
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
Ability to obtain a Secret clearance
Bachelor’s degree in a Science, Technology, Engineering or Mathematics (STEM)

Nice To Haves

Experience designing, developing, and optimizing large-scale computational simulations within high-performance computing environments for complex 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 developing autonomous system behaviors
Experience with Linux or Unix systems
Master's degree in a Science, Technology, Engineering or Mathematics (STEM) preferred; Doctorate degree a plus

Responsibilities

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