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Modeling and Simulation Engineer

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Job ID: 2213295
Location: EL SEGUNDO, CA, United States
Date Posted: Jan 9, 2023
Category: Engineering and Sciences
Subcategory: Modeling/Sim Engr
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Top Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No Remote
Benefits: Click here

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Job Description

Description

SAIC in support of our Systems Engineering & Integration (SE&I) team has an immediate need for a Modeling, Simulation, and Analysis Engineer with experience assessing space and ground system architectures and system performance. We are looking for innovative, creative, and highly motivated individuals to develop models and simulations that effectively capture system and system of systems effects in complex.  This role provides systems engineering and integration expertise in support of the Space Systems Command's (SSC) MW and EM mission areas. This position is located in El Segundo, California.
 
Primary responsibilities include:
  • Developing modeling solutions for each phase of the find, fix, target, track, engage, and assess chain using sensor, effects, and communications technologies
  • Developing algorithms, writing simulations, and analyzing key performance parameters associated with space and ground sensor system design
  • Supporting analysis activities by integrating performance models with MBSE models and tools
  • Quantifying performance impacts and sensitivity to changes in CONOPS, scenarios, and/or threats
  • Developing and briefing data packages that provide analysis results to inform the government decision-makers
  • Working closely with the government customer to understand needs and collaborating with prime contractors, other team contractors, government civilians, and members of the U.S. Space Force

Qualifications

  • Bachelor's Degree in Math, Science, or Engineering with 9+ years of demonstrated system engineering and integration experience (equivalently a similar Master's Degree with 7+ years, or PhD with 4+ years)
  • Active DoD Top Secret Clearance
  • Experience with developing modeling, simulation, and mission analysis techniques and tools, including Matlab and System Toolkit 
  • Experience scripting for analysis purposes
  • Demonstrated experience working with Air Force/DoD customers in an acquisition environment, with space and/or ground systems
Desired Qualifications
  • Active TS/SCI clearance
  • Experience working in an Agile team/framework
  • Experience with AFSIM, MODTRAN, SSGM, or other comparable modeling and simulation tools
  • Model Based Systems Engineering (MBSE) experience using Sparx Enterprise Architect, Cameo or other comparable tools
  • OPIR and SBEM Mission experience is highly desirable

Target salary range: $165,001 - $175,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.

Overview

SAIC® is a premier Fortune 500® technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions.

We are approximately 26,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a culture of diversity, equity, and inclusion, which is core to our values and important to attract and retain exceptional talent. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.4 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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