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:
- 10+ years of experience in systems engineering for aerospace, defense, or autonomous aircraft systems.
- 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).
Skills Required
- 10+ years of experience in systems engineering for aerospace, defense, or autonomous aircraft systems.
- 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.
- 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.
- 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).
- Prior experience working with defense primes, DoD stakeholders, or government R&D programs.
- Active Secret or Top Secret clearance (or ability to obtain one).
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
Shield AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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