Shield AI
Senior Staff Engineer, Weapons Integration - Ranger (R6323)
Seattle, Washington · Senior Staff · Full-time · Posted Oct 29, 2026
- Experience
- 10 or more years of relevant aerospace or defense experience, including at least 5 years developing and integrating weapons or complex aircraft mission systems.
- Education
- Bachelor’s degree in Aerospace Engineering, Electrical Engineering, Computer Engineering, Systems Engineering, or a related technical discipline.
About the job
Owns the architecture, development, integration, verification, and flight-test readiness of weapons and mission-critical subsystems for an autonomous aircraft.
What you'll do
- Define mission-system architectures, requirements, performance budgets, interfaces, and verification criteria across weapons, avionics, payloads, communications, and supporting aircraft systems.
- Lead technical trade studies, integration and verification campaigns, flight testing, and resolution of critical anomalies and compliance gaps.
- Lead technical reviews and multidisciplinary teams, align stakeholders on architecture and risks, and mentor engineers.
What they ask for
- Bachelor’s degree in Aerospace Engineering, Electrical Engineering, Computer Engineering, Systems Engineering, or a related technical discipline.
- 10 or more years of relevant aerospace or defense experience, including at least 5 years developing and integrating weapons or complex aircraft mission systems.
- Experience owning mission-system architectures, applying systems-engineering practices and Modular Open Systems Approach principles, and leading integration through test and fielding.
- Active U.S. Secret security clearance and ability to obtain and maintain a Top Secret clearance.
Nice to have
- Master’s or PhD in Aerospace, Systems, or Electrical Engineering.
- Flight-test operations, mission-system validation, advanced sensors, autonomy, AI-enabled payloads, guided weapons, MBSE/SysML, aircraft mission-system vendors, or active DoD Top Secret clearance.
Tools
Modular Open Systems Approach, Open Mission Systems, Government Reference Architectures, DO 178C, DO 254, MBSE, SysML
AI focus
Preferred experience includes integrating AI-enabled payloads; the role otherwise focuses on weapons and aircraft mission-system integration.
Model-written summary · the original posting is authoritative