Modeling & Simulation Analyst

KBR, Inc.Huntsville, AL
Onsite

About The Position

KBR’s Missile, Aviation, and Ground Systems (MAGS) division delivers mission engineering solutions for critical U.S. Army programs, specializing in aviation and ground systems, integrated air and missile defense, and threat and target systems. As a trusted partner of the U.S. Department of War, MAGS provides innovative, technology-driven solutions to enhance national security. With a global presence and a strong ethical framework, KBR ensures secure, effective, and mission-ready capabilities worldwide. The Modeling and Simulation (M&S) Analyst position supports system level M&S Verification and Validation (V&V), test, and associated analysis activities for the government’s Search, Track, Acquire, Radiate, Eliminate (STARE) Project Office for the Lower Tier Air and Missile Defense Sensor (LTAMDS) M&S models. This position will directly support the STARE LTAMDS government customer in coordination of V&V testing activities. Analytical Support will be provided for specific test phases required for fielding Army weapons systems to include pre-flight assessments, ground tests, and post-flight reconstruction. Will coordinate with team members to provide comparative feedback between the simulation runs and live test execution to the government as required and for test campaigns as needed. Candidate’s efforts will further the STARE LTAMDS goal of achieving accreditation for simulation models that will help predict tactical performance. This is a full-time, on-contractor site position located in Huntsville, AL just outside of Redstone Arsenal Gate 9 in Redstone Gateway. The candidate must be a resident or able to relocate to the area.

Requirements

  • Possess a Bachelor of Science degree in Engineering, Physics, Mathematics, or Computer Science or applicable STEM degree with 5+ years of experience.
  • 1+ year of experience with Air and Missile Defense systems, data analysis, Flight/Ground tests and system modeling and simulation and/or system performance analysis.
  • Understanding of VV&A methodologies, including development of sound testing methods and applicable criteria, requirements management, and analysis functions, including crosswalks and traceability between M&S and weapons systems.
  • Understanding of programming languages such as Structured Query Language (SQL), Python, and/or MATLAB.
  • Able to travel 15-20% of the time.
  • Candidate must be a US Citizen and be able to obtain and maintain a Secret Clearance.

Nice To Haves

  • Demonstrate understanding of radar functionality or have experience with radar hardware, radar architecture, and/or signal processing.
  • Ability to absorb extensive technical detail and logically formulate solutions for execution on prescribed schedules.
  • M&S design, development, integration, and test experience, with broad based knowledge of space, missiles and/or launch systems at the component through system level.
  • Demonstrate an understanding of program planning and execution, systems engineering, design processes, weapon system integration, and performance assessment.

Responsibilities

  • Produce V&V documentation (report, plan, technical briefs, etc.).
  • Assist in developing and maintaining data reduction and analysis tools to support the V&V effort.
  • Perform comparative analysis between simulation data and referent test events using defined performance parameters and acceptability criteria.
  • Perform deep dive analysis on the simulations when deltas occur between the simulation runs and the referent test events.
  • Support and contribute to technical interchange meetings (TIMs), program reviews, and integration and test working groups, providing analytical insight and recommendations.
  • Assist with V&V planning, scheduling, and execution, ensuring activities align with program objectives and test timelines.
  • Assist with coordination between multiple organizations, including the government customer, V&V agency, LTAMDS Test Team, and Accreditation Agency.
  • Communicate findings and recommendations clearly to government stakeholders to support model accreditation and decision-making.
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