GNC Aerospace Engineer

  • SAIC (Science Applications Int.)
  • Dahlgren, Virginia
  • Full Time

Job Description

Description

SAIC is seeking a GNC Aerospace Engineer in Dahlgren, VA.

Responsibilities:

  • Develop, implement, and refine GNC algorithms for guidance laws, control loops, navigation filters, and state estimation.
  • Support weapon system modeling and simulation, including 6 DOF (six degrees of freedom) simulation environments and subsystem integration.
  • Perform trajectory analysis, mission performance evaluations, and control system stability assessments.
  • Develop navigation solutions integrating IMUs, GPS, INS, seekers, and other sensor modalities.
  • Conduct Monte Carlo analysis, uncertainty modeling, and system performance sensitivity studies.
  • Implement GNC prototypes in MATLAB/Simulink, Python, C/C++, or equivalent simulation frameworks.
  • Analyze telemetry, flight test data, and HWIL/SIL outputs to validate system performance.
  • Support requirements decomposition, interface definition, and subsystem integration with E20 system engineering teams.
  • Document models, test results, algorithm behavior, and performance in technical reports and presentations.
  • Participate in technical reviews, design sessions, and engineering working groups with government and contractor personnel.

Qualifications

Qualifications

  • Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Physics, or related discipline (Master's preferred).
  • 4+ years experience in GNC engineering, missile guidance, flight controls, or related system modeling.
  • Proficiency in MATLAB/Simulink and at least one programming language (Python or C/C++).
  • The successful candidate shall have experience with guidance algorithms (proportional navigation, pursuit guidance, optimal guidance, intercept geometry), navigation & estimation, Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S (Modeling & Simulation), MATLAB/Simulink, Python (NumPy/SciPy), C/C++ for embedded or real time simulation, and familiarity with 6 DOF modeling.
  • Ability to work with E20 technical SMEs to develop or refine analytical tools, performance models, or algorithmic improvements.

Preferred Qualifications

  • Familiarity with hardware in the loop (HWIL) or software in the loop (SIL) environments is a plus.
  • Experience supporting missile systems, unmanned systems, or weapons/flight dynamics programs.
  • Experience supporting NSWCDD, NAVSEA, or other DoD weapons engineering divisions.
  • Experience with aerospace flight test data analysis or guidance law verification.
  • Knowledge of seeker modeling, sensor suite integration, or autopilot tuning.

Physical Demands:

  • Must be able to lift up to 25 pounds
  • Must be able to stand and walk for prolonged amounts of time
  • Must be able to twist, bend and squat periodically

SECURITY CLEARANCE REQUIRED:

Must be able to obtain and maintain a security clearance at the Secret level. US Citizenship is a requirement for Secret clearance at this location. Current active Secret clearance preferred.

Overview

SAIC accepts applications on an ongoing basis and there is no deadline.

SAIC is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Job ID: 521628374
Originally Posted on: 5/19/2026

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