Air Force Model Controller and Exercise Gamer

DescriptionSAIC is seeking an ASCCE Model Controller/Exercise Gamer to support the US Air Force Agency for Modeling and Simulation (AFAMS) program.The ASCCE Model controller/Exercise Gamer shall support worldwide Air Force and Joint/Coalition partners in executing Tier 1 and 2 exercises on request. The Air, Space, and Cyberspace Constructive Environment (ASCCE) is the USAF's authoritative federation of constructive training models and tools realistically representing the tactical and operational capabilities the USAF brings to the joint fight.This is a part-time/on-call position, which will include multiple 2-week assignments/exercises (in either Hawaii, Germany or Republic of Korea).The Controller/Gamer shall:

Monitor the operation of the simulation.

Take the necessary control steps to maintain efficient Air operations.

Assume roles of various external organizations an AOC can be expected to contact providing realistic operational and technical responses to the AOC training audience.

Contractor shall control and manage the operation of an ASCCE simulation system during execution of exercises to include Air Warfare Simulation (AWSIM), Combat Systems Interface (CSI), Distributed Interactive Simulation (DIS), Air Force Synthetic Environment for Reconnaissance and Surveillance (AFSERS), Logistics Simulation (LOGSIM), Air and Space Collaborative Environment-Information Operations Suite (ACE-IOS).

Manage Exercise Command and Control Systems to facilitate Air Operations throughout the exercise including Theater Battle Management Core System (TBMCS), Joint Automated Deep Operations Coordination System ( JADOCS ), Master Air Attack Plan Tool Kit (MAAPTK), C2Core, Networked Interoperable Real-Time Information Services (NIRIS), Integrated Command & Control (ICC) System, Tactical Data Analysis and Connectivity System (TDACS), Active Directory Service Interfaces (ADSI), Joint Range Extension (JRE), Etc.

Qualifications

6 years military experience in AOC operations, information technology, and/or Air , Space, and Cyberspace Constructive Environment (ASCCE) suite systems, and Air Force simulations.

Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience; PhD or JD and four (4) years or more experience or relevant years of experience in lieu of degree.

Candidate must possess minimally a secret clearance and be a US Citizen and have the ability to obtain a TS/SCI

Desired Qualifications:

Knowledge of Air Tasking Order (ATO) preparation and execution; AOC display systems for Common Operational Picture (COP) and Common Tactical Picture (CTP); and battle damage assessment processes and systems.

Knowledge shall include the practical application of Air computer simulation for the support of exercises, the fundamental principles of simulation-driven exercise planning, and experience in the control of a simulation center during an exercise.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.SAIC accepts applications on an ongoing basis and there is no deadline.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.

REQNUMBER: 2412434SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability