S

Shield AI

Builds autonomous aircraft for defense

Senior Staff Engineer - Avionics Systems

AvionicsUpdated on Nov 15
Full-timeSeattle, WA, USANo salary listedIn-person

About the Job

Requirements

  • Typically requires a minimum of 7 years of related experience with a Bachelor's degree.
  • Demonstrated experience defining system behavior logic, operational modes, redundancy, and fault management.
  • Deep expertise in avionics architecture and integration, including flight computers, navigation systems, datalinks, and avionics data buses.
  • Proficiency in model-based systems engineering (MBSE), DOORS, SysML, Cameo, or similar system modeling tools for complex systems design and analysis.
  • Experience with Group 4 or Group 5 unmanned aircraft systems (UAS), military aircraft, or autonomous airborne platforms.
  • Strong background in avionics integration, hardware/software integration labs, flight testing, and performance validation.
  • Knowledge of Department of Defense (DoD) acquisition processes, airworthiness (MIL-HDBK-516C), and avionics standards (MIL-STD-461, MIL-STD-704, MIL-STD-810, DO-178C, and DO-254).
  • Experience on a developmental program from clean sheet to first flight.
  • Ability to lead cross-functional teams in a fast-paced, agile environment with shifting priorities.
  • Ability to obtain an S//SAR level security clearance.

Responsibilities

  • Develop and refine the avionics architecture for the next-generation UAS, covering flight and mission computers, data networks, navigation, communications, sensor payloads, and their interfaces with autonomy and propulsion.
  • Define and document system-level behavior, including modes, states, transitions, redundancy management, and fault detection, isolation, and recovery. Support safety analyses (FHA, FMEA, and FTA) by defining behavior under fault conditions.
  • Establish top-level requirements, decompose them into avionics subsystem requirements, and own interface control documents (ICDs), maintaining traceability across the development lifecycle.
  • Define navigation architectures, including GPS/INS and alternative navigation for GPS-denied operations, and define datalink and communications architectures that keep command, control, and mission data reliable in contested environments.
  • Lead integration of avionics hardware and data buses, including Ethernet, MIL-STD-1553, ARINC 429, and CAN, while addressing thermal, EMI/EMC, and environmental considerations.
  • Work with the autonomy and software teams to ensure the avionics architecture provides the compute, sensor data, and determinism required for flight control and mission execution.
  • Work with DoD stakeholders, industry partners, and avionics suppliers to align system capabilities with operational requirements.
  • Support the aircraft through flight testing and operational deployment.

Desired Qualifications

  • Experience with alternative navigation, assured PNT, or GPS-denied navigation solutions.
  • Expertise in sensor integration for airborne platforms.
  • Familiarity with modular open system architectures (MOSA), Government Reference Architectures (GRA), or open standards such as SOSA and FACE.
  • Experience developing or integrating AI-driven autonomy for unmanned aircraft.
  • Prior experience working with defense primes, DoD stakeholders, or government research and development programs.
  • Active Secret or Top 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

Recently Posted Jobs

Explore more opportunities at Shield AI

See more jobs