Staff Systems Engineer

Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.

San Diego, United States
About Shield AI

Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.

View jobs by Shield AI

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will design and refine next-generation UAS system architecture, integrating avionics, autonomy, propulsion, sensors, and mission systems. You will define system behavior and requirements, conduct safety analyses and trade studies, develop MBSE models, support flight testing, and align technical work with defense stakeholders.

Requirements

  • 8+ years of systems engineering experience in aerospace, defense, or autonomous aircraft systems
  • Experience defining system behavior logic and operational modes
  • Expertise in system architecture, avionics integration, and autonomy-driven flight systems
  • Proficiency with MBSE, DOORS, SysML, CAMEO, or similar tools
  • Experience with Group 4 or Group 5 UAS, military aircraft, or autonomous airborne platforms
  • Experience with flight testing, system integration, and performance validation
  • Knowledge of DoD acquisition processes, MIL-STDs, FAA airworthiness certification, and airborne system safety standards
  • Experience leading cross-functional teams
  • Experience taking a developmental program from clean sheet to first flight

Responsibilities

  • Develop and refine UAS system architecture
  • Define system behavior, modes, states, transitions, and fault responses
  • Support FHA, FMEA, and FTA safety analyses
  • Establish, decompose, and trace system requirements
  • Integrate AI-driven autonomy capabilities
  • Create system models and conduct trade studies
  • Assess technical risks and design alternatives
  • Align system capabilities with operational requirements
  • Coordinate system integration across engineering disciplines

Benefits

  • Bonus
  • Equity