Apply on Employer Site

Booz Allen Hamilton · 18 hours ago

Modeling and Simulation Engineer

Dayton, OH

Full-time

Hybrid

Senior Level

$87K/yr - $198K/yr

5+ years exp

Booz Allen Hamilton is seeking a Modeling and Simulation Engineer to impact national defense through advanced tools and capabilities. In this role, you will design and implement models to evaluate system performance and support strategic decision-making for national security missions.

ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Design and develop advanced tools for mission

Translate real-world needs into technical specifications

Design and implement advanced models to evaluate system performance

Support strategic decision-making

Qualification

ModelingQuantitative analysisObject-oriented programmingEO/IR modeling softwareHigh-performance computingImage processing techniquesParallel programming frameworksLinuxUnix systemsBachelor's degreeDoctorate degreeCommunication skillsCollaboration skillsInitiative

Required

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 CS, Mathematics, or an Engineering field

Preferred

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 CS, Mathematics, or an Engineering field