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Shield AI

Builds autonomous aircraft for defense

Staff Mission Systems Engineer

AvionicsUpdated on Nov 15
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • A B.S. in Aerospace Engineering, Electrical Engineering, Systems Engineering, or a related field is required.
  • Typically requires at least 7 years of relevant aerospace or defense experience, including at least 5 years in mission systems integration.
  • Demonstrated experience with aircraft payloads, avionics, and/or weapons integration.
  • Demonstrated experience with line-of-sight and beyond line-of-sight aircraft communications systems and components.
  • Working knowledge of Government modular open system approach standards, including open mission systems, Government Reference Architectures, or modular avionics standards.
  • Ability to lead multidisciplinary teams and deliver complex systems to fielded capability.
  • Strong knowledge of systems engineering processes and the product development lifecycle.
  • Familiarity with DO-178C and DO-254 certification requirements for software and hardware.
  • Ability to brief technical findings to executives and customers.
  • Active Secret clearance and ability to obtain a Top Secret clearance.

Responsibilities

  • Lead system architecture, requirements development, and integration for payloads, avionics, and weapons.
  • Serve as a technical subject matter expert for mission systems engineering across the aircraft program.
  • Drive trade studies and system-of-systems analysis to balance performance, cost, and schedule.
  • Oversee integration and test campaigns, from bench-level hardware-in-the-loop testing to flight test.
  • Ensure compliance with MIL-HDBK-516C, DO-178C, DO-254, and related standards.
  • Collaborate with program management to de-risk architectures and ensure technical maturity gates are met.
  • Interface with customers, partners, and suppliers to align system requirements and certifications.

Desired Qualifications

  • Master’s or PhD in Aerospace, Systems, or Electrical Engineering.
  • Hands-on experience with flight test operations and mission system validation.
  • Direct experience integrating advanced sensors, autonomy, AI-enabled payloads, or guided weapons.
  • Background in model-based systems engineering and SysML tools.
  • Strong knowledge of current aircraft mission systems vendors and capabilities.
  • Active DoD Secret clearance.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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