Principal Guidance, Navigation & Control (GNC) Engineer
CHAOS Industries · El Segundo, California, United States
- Senior
- Full-time
- $210,000 – $338,000
- Posted 2026-10-09
- Confirmed live on 14 October 2026
Job description
CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.
CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, and London. For more information, please visit www.chaosinc.com.
Role Overview:
We are seeking an experienced Principal GNC Systems Engineer who will own the guidance, navigation, and control architecture for the Massed Modular Aircraft (MMA) program, with particular emphasis on multi-aircraft interoperation — the behaviors, algorithms, and simulation environments needed to design, verify, and validate how multiple MMA air vehicles fly, coordinate, and interact with one another in shared airspace or mission scenarios. This role requires hands-on experience building and using 6 degree-of-freedom (6DOF) simulations involving multiple interacting aircraft, not just single-vehicle GNC development, and is responsible for ensuring the platform's GNC design supports safe, predictable, and effective behavior at the scale and density implied by a "massed" aircraft concept.
Responsibilities:
• Own the guidance, navigation, and control architecture for the MMA air vehicle, including flight control laws, navigation/state estimation, and guidance/trajectory management.
• Design and develop control laws and guidance algorithms appropriate to the platform's flight envelope, autonomy level, and modular/mass-production constraints.
• Define sensor fusion and state estimation approaches (e.g., GPS/INS integration, relative navigation between aircraft where applicable) supporting both single-vehicle flight and multi-aircraft operations.
• Partner with Avionics (owner of onboard avionics and Ground Control Station architecture) to ensure GNC algorithms are correctly implemented within the avionics hardware/software architecture and flight control computer constraints.
• Develop and maintain 6DOF simulation environments capable of modeling multiple MMA aircraft operating simultaneously, including vehicle-to-vehicle interaction, relative positioning/separation, formation or collaborative behaviors, and deconfliction logic as applicable to the program's operational concept.
• Use multi-aircraft 6DOF simulation to design, test, and verify guidance and control behaviors under realistic mass-employment scenarios (e.g., multiple simultaneous launches/recoveries, coordinated maneuvering, formation-keeping, collision avoidance).
• Define simulation architecture (real-time vs. non-real-time, distributed/networked simulation across multiple simulated vehicles, hardware-in-the-loop integration points) suited to verifying multi-vehicle GNC behavior at scale.
• Validate simulation fidelity against flight test data and other independent analysis to ensure simulation results are credible for design and verification decisions.
• Perform stability and performance analysis (linear and nonlinear) for the flight control system across the platform's flight envelope and configuration variants.
• Analyze multi-aircraft interaction effects relevant to safety of flight, including separation assurance, wake/proximity effects (as applicable), and failure mode behavior in dense or coordinated operations.
• Support System Safety Analysis (SSA) and Failure Modes and Effects Analysis (FMEA) for GNC functions, including degraded-mode behavior and fail-safe/fail-operational design considerations.
• Define GNC verification and validation (V&V) approach spanning simulation, hardware-in-the-loop (HIL), ground test, and flight test.
• Define GNC-related flight test objectives, test points, and success criteria, including multi-aircraft test scenarios where applicable.
• Support flight test planning, execution, and post-test data analysis, correlating flight results back to simulation predictions to refine models and close verification gaps.
• Lead root-cause investigation of GNC-related anomalies identified in simulation, ground test, or flight test.
• Ensure GNC algorithms and control architecture are compatible with a modular, mass-producible platform, including tolerance to manufacturing variation across vehicle-to-vehicle builds and configuration variants.
• Partner with Systems Engineering and Mission Systems to ensure GNC design supports the operational employment concepts (e.g., distributed operations, coordinated/collaborative employment) that differentiate a "massed" aircraft program from a traditional single-vehicle platform.
• Serve as the senior technical authority for GNC on the program, representing the discipline at Preliminar
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