Modeling and Simulation Engineer

Booz Allen HamiltonWashington, DC
1d

About The Position

Modeling and Simulation Engineer The Opportunity: 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 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. Join us. The world can’t wait.

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
  • Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Responsibilities

  • design and implement advanced models to evaluate system performance and support strategic decision-making

Benefits

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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