S

Shield AI

Builds autonomous aircraft for defense

Senior System Integration Test Engineer

AvionicsUpdated on Nov 14
Full-timeSan Diego, CA, USA

About the Job

Requirements

  • Typically requires 5+ years of relevant experience with a Bachelor's degree in Aerospace, Electrical, Computer, Mechanical, Systems Engineering, or a related technical field, or 3+ years with a Master's degree.
  • Demonstrated experience in system integration and test, including Software-in-the-Loop, Hardware-in-the-Loop, simulation, and flight test environments.
  • Proven ability to author clear, comprehensive integration test plans, procedures, and test cards, and translate test results into actionable engineering findings and gap-closure roadmaps.
  • Strong experience troubleshooting complex system interfaces using telemetry, logs, packet capture tools such as Wireshark, or hardware diagnostic equipment.
  • Proficiency with Linux operating systems and scripting languages for test automation, data analysis, and hardware bench interfacing.
  • Ability to organize integration tasks, track dependencies, and coordinate work across distributed engineering teams and external partners.
  • Willingness and ability to travel periodically to platform vendor facilities and flight test locations as program needs require.
  • Ability to obtain and maintain a U.S. DoD Secret security clearance; U.S. citizenship is required.

Responsibilities

  • Deploy, integrate, and verify Hivemind mission autonomy software with actual Autonomous Collaborative Platform software and hardware in Shield AI and platform vendor Software-in-the-Loop and Hardware-in-the-Loop laboratories.
  • Develop detailed integration test plans, test cards, schedules, and objective success criteria across laboratory, ground, and flight test phases.
  • Proactively identify architectural, interface, protocol, timing, and hardware/software gaps; formulate gap-closure plans, risk mitigations, and technical workarounds with Shield engineering and platform partners.
  • Coordinate laboratory readiness with aircraft original equipment manufacturers and platform vendors, align entry and exit criteria, deconflict test-bench time, and co-execute joint integration campaigns.
  • Execute integration tests, configure test benches, and lead real-time troubleshooting of multi-system anomalies.
  • Coordinate across engineering teams to design and build test automation and simulation scripts.
  • Enforce empirical test entry and exit criteria to gate delivery to aircraft ground and flight test; support flight test preparation, configuration validation, real-time troubleshooting, and post-flight data analysis.
  • Travel to test sites, customer events, and integration activities as required.

Desired Qualifications

  • Experience with Autonomous Collaborative Platforms, Collaborative Combat Aircraft, Group 4/5 uncrewed aircraft systems, or military aircraft mission systems.
  • Experience working directly inside aircraft manufacturer or defense prime contractor integration laboratories, such as Boeing, Northrop Grumman, Lockheed Martin, General Atomics, or Anduril.
  • Familiarity with open systems architectures such as Open Mission Systems, Universal Command and Control Interface, and Modular Open Systems Approach.
  • Experience with inter-process communication and messaging middleware such as DDS, ROS/ROS2, ZeroMQ, or gRPC.
  • Understanding of airworthiness processes, safety-of-flight standards, or software assurance guidelines such as DO-178C, DO-254, or MIL-STD-882E.
  • Active DoD 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
Debt Financing
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

Recently Posted Jobs

Explore more opportunities at Shield AI

See more jobs