> Markdown version of [/jobs/ext/4525674-staff-systems-engineer-r5982](https://www.wearedevelopers.com/jobs/ext/4525674-staff-systems-engineer-r5982). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Systems Engineer (R5982) - **Company:** Shield AI - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $144,000.0 - $210,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Application Integration Architecture, Systems Engineering, Digital Technology, Failure Mode Effects Analysis, Performance Tuning, Software Requirements Analysis, Systems Modeling Language, Systems Architecture, Systems Integration, Performance Testing, DOORS (Software) - **Published:** November 2, 2026 - **Apply:** https://www.juju.com/job/16_c16640b91 ## About the Role * Typically requires a minimum of 7 years of related experience with a Bachelor's degree * Demonstrated experience defining system behavior logic and operational modes * Deep expertise in system architecture, avionics integration, and autonomy-driven flight systems. * Proficiency in MBSE, DOORS, SysML, CAMEO, or similar system modeling tools for complex systems design and analysis. * Experience with Group 4 or Group 5 UAS, military aircraft, or autonomous airborne platforms. * Strong background in flight testing, system integration, and performance validation. * Knowledge of DoD acquisition processes, MIL-STDs, FAA airworthiness certification, and airborne system safety standards. * Demonstrated ability to lead cross-functional teams and drive complex projects to successful completion. * Ability to work in a fast-paced, agile development environment with shifting priorities. * Worked on developmental program from clean sheet to first flight * Ability to obtain a S//SAR level security clearance desired. Preferred Qualifications: * Experience developing AI-driven autonomy for unmanned aircraft. * Expertise in ISR, EW, and advanced sensor integration for airborne platforms. * Familiarity with modular open system architectures (MOSA) and Government Reference Architectures (GRA) for defense applications. * Prior experience working with defense primes, DoD stakeholders, or government R&D programs. * Active Secret or Top Secret clearance (or ability to obtain one). ## Description Job Description: As a Staff Systems Engineer on Shield AI's next gen UAS program, you will play a pivotal role in designing, developing, and integrating cutting-edge autonomous aircraft systems for national defense. You will lead the technical execution of system architecture, ensuring seamless integration of avionics, autonomy, propulsion, sensor payloads, and mission-critical systems. This position requires a deep understanding of aerospace systems engineering, autonomy, and complex system integration. You will work cross-functionally with teams in hardware, software, autonomy, flight operations, and manufacturing to develop a scalable, mission-ready platform capable of operating in contested environments. Your expertise will be critical in defining system requirements and architectures through model-based systems engineering, conducting trade studies, ensuring compliance with military and aviation standards, and supporting the aircraft through flight testing and operational deployment. What You'll Do: * Perform System Architecture & Design: Develop and refine the system architecture for the next gen UAS, ensuring seamless integration of avionics, autonomy, propulsion, sensor payloads, and mission systems. * Define and document system-level behavior, including modes, states, transitions, and fault responses * Support safety analyses (FHA, FMEA, FTA) by defining behavior under fault conditions * Define and Manage System Requirements: Establish top-level requirements, decompose them into subsystems, and maintain traceability across the development lifecycle. * Autonomy & AI Integration: Work closely with autonomy and software teams to integrate AI-driven flight control, decision-making, and mission execution capabilities. * Model-Based Systems Engineering (MBSE): Utilize SysML, DOORS, or other MBSE tools to create digital system models, conduct trade studies, and optimize system performance. * Risk Management & Trade Studies: Conduct trade studies to evaluate design alternatives, assess technical risks, and ensure the best engineering solutions for mission effectiveness. * Stakeholder & Customer Engagement: Work closely with DoD stakeholders, industry partners, and government agencies to align system capabilities with operational requirements. * Cross-Functional Collaboration: Partner with hardware, autonomy, software, propulsion, and flight operations teams to drive seamless system integration and rapid development cycles.