What you'll do:
- Design and implement flight control laws and supporting logic across multiple flight regimes.
- Build and mature high-fidelity 6DOF simulation environments used for control development and ensure accurate pre-flight performance predictions
- Execute verification activities, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation
- Diagnose and resolve simulation-to-test mismatches, including unidentified dynamics and modeling gaps
- Support flight test operations and contribute to rapid iteration between flights
- Work closely with propulsion, aero, actuation, sensors, state estimation, and autonomy teams to ensure accurate integrated system performance in the 6DOF simulation environment.
Required qualifications:
- 5+ years of experience in flight controls / GNC on real flight vehicles.
- Experience performing one or more of the following technical flight control assignments:
- Vehicle Modeling and Simulation:
- Demonstrated experience implementing time-accurate mathematical models of the vehicle aerodynamics, mass properties, fuel system, propulsion system, sensors, actuators into a 6DOF simulation environment.
- Control Law Design:
- Demonstrated experience designing inner and outer loop control laws for fixed-wing aircraft using classical or modern control techniques.
- Control Allocation:
- Demonstrated experience designing control allocation algorithms for over-actuated systems handling actuator saturation, rate limits, failures and degradation.
- Guidance and Autonomy Integration:
- Demonstrated experience designing and testing real-time trajectory generation algorithms.
- Verification and Validation:
- Demonstrated experience executing linear, nonlinear, and Monte Carlo Analyses in a 6DOF simulation environment.
- Demonstrated experience executing sensitivity studies, worst-case disturbance analysis, and/or failure detection and accommodation studies validating control robustness against requirements.
- Demonstrated experience characterizing aircraft flying qualities against tailored MIL-HDBK-516 Section 6 requirements within a high-fidelity 6DOF Simulation framework.
- Demonstrated experience in generating flight control and simulation data artifacts for Airworthiness Certification (Simulation Description Document, Flying Qualities Report).
- Flight Test Support:
- Demonstrated experience in test planning, envelope expansion strategy, and test point selection.
- Post-Flight Analysis:
- Demonstrated experience analyzing flight data, comparing predicted vs actual behavior, performing system identification and model refinement tasks, and implementing control design or simulation model updates.
- Strong background in aircraft flight dynamics and 6DOF simulation
- Proficiency in C++, MATLAB/Simulink, and/or Python.
- Ability to obtain and maintain a U.S. security clearance
- Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
- Autonomous systems or missile/UAV GNC background
- Familiarity with:
- Sensor and air data systems
- CI/CD pipelines and modern DevSecOps practices
- Experience integrating NPSS propulsion models (transient and steady state) into a 6DOF simulation environment.
- Experience with HIL or integrated simulation/test environments and Linux-based development workflows (Git, etc.)
- Experience operating in rapid development environments with tight iteration loops between simulation and test
Skills Required
- 5+ years of experience in flight controls / GNC on real flight vehicles
- Demonstrated experience implementing time-accurate mathematical models (aerodynamics, mass properties, fuel, propulsion, sensors, actuators) into a 6DOF simulation
- Demonstrated experience designing inner and outer loop control laws for fixed-wing aircraft using classical or modern control techniques
- Demonstrated experience designing control allocation algorithms for over-actuated systems handling saturation, rate limits, failures and degradation
- Demonstrated experience designing and testing real-time trajectory generation (guidance) algorithms and autonomy integration
- Demonstrated experience executing linear, nonlinear, and Monte Carlo analyses in a 6DOF simulation environment
- Demonstrated experience executing sensitivity studies, worst-case disturbance analysis, and/or failure detection and accommodation studies validating control robustness
- Demonstrated experience characterizing aircraft flying qualities against MIL-HDBK-516 Section 6 within a high-fidelity 6DOF simulation
- Demonstrated experience generating flight control and simulation artifacts for Airworthiness Certification (Simulation Description Document, Flying Qualities Report)
- Demonstrated experience in test planning, envelope expansion strategy, and test point selection for flight test support
- Demonstrated experience analyzing flight data, performing system identification, model refinement, and implementing control or simulation updates post-flight
- Strong background in aircraft flight dynamics and 6DOF simulation
- Proficiency in C++, MATLAB/Simulink, and/or Python
- Ability to obtain and maintain a U.S. security clearance
- Ability to obtain a S//SAR level security clearance
Shield AI Compensation & Benefits Highlights
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Healthcare Strength — Company materials describe excellent medical, dental, and vision coverage alongside a mental‑health EAP. Site perks such as an onsite gym in DC and a gym discount in San Diego support a health‑focused offering.
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Retirement Support — Careers materials highlight a 401(k) with company match as part of the standard package. A Total Rewards overview emphasizes retirement features within a broader, transparent compensation view.
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Career-Linked Recognition & Rewards — Compensation for in‑demand technical and senior go‑to‑market roles is described as competitive, with visible engineering ranges and top‑end packages. This points to meaningful upside tied to role, level, and scarce skills.
Shield AI Insights
What We Do
At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.
Why Work With Us
Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.
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Shield AI Teams
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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