Role details
Job description
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.
Required Qualifications
- 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).
Role context
This Staff Systems Engineer (R5982) role at Shield AI sits in the engineering track within defense and autonomy. The position is tied to United States and is posted within the last 23 days, which signals active hiring intent rather than archived demand. Compensation is not disclosed in the source listing, so candidates should verify range details directly with the employer. Combined with the live company and role links on this page, this listing gives candidates a direct path to compare equivalent openings by employer, market, and role focus.
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