Inactive
S

Shield AI

Builds autonomous aircraft for defense

Director Test Engineering - ACP Programs

Aviation Operations & Aircraft MaintenancePosted on May 23
Full-timeWashington, DC, USAIn-person

About the Job

Requirements

  • Typically requires 12+ years of experience with a Bachelor’s degree; or 10+ years with a Master’s; or 10+ years with a PhD; or equivalent experience.
  • Demonstrated experience leading flight test or large-scale system integration efforts, including authority over test readiness, execution, and risk decisions.
  • Strong background in full-scale aviation test environments, including aircraft integration, ground test, and flight operations.
  • Experience with system-level verification and validation across multiple test environments (SIL, HIL, simulation, and flight).
  • Proven ability to plan and execute complex, multi-phase flight test campaigns involving multiple stakeholders and dependencies.
  • Experience working cross-functionally across software, hardware, avionics, systems engineering, safety, and program teams.
  • Strong understanding of safety-of-flight principles, risk management, and disciplined test execution in aviation environments.
  • Proficiency in Python or similar tools for test automation, data analysis, or system validation.
  • Ability to obtain and maintain a Secret clearance; U.S. citizenship is required.

Responsibilities

  • Act as Test Leader and technical lead for integration and flight test of Hivemind autonomy on group 5 ACP systems, including multi-aircraft coordination scenarios in LVC and empirical flight test scenarios.
  • Own test strategy and execution across the full development lifecycle, including system-level verification and validation, test phasing, and prioritization across SIL, HIL, simulation, ground, and flight test environments.
  • Plan and execute large-scale flight test campaigns, including complex mission scenarios involving cooperative autonomy, human-machine teaming, and distributed systems.
  • Serve as the final authority during mission autonomy test operations, directing test conduct and approving test plans, procedures, and execution flow.
  • Coordinate cross-functional execution across software, hardware, systems engineering, flight operations, safety, and program leadership teams.
  • Define mission-level performance metrics and success criteria, ensuring traceability from requirements to test outcomes and operational effectiveness.
  • Own test infrastructure strategy, including large-scale simulation environments, SIL/HIL systems, aircraft integration labs, and flight test assets.
  • Lead on-aircraft integration and flight test operations with platform OEM partners, including system configuration, software deployment, real-time troubleshooting, and post-flight data analysis.
  • Serve as primary coordinator with platform OEMs to define and enforce test readiness criteria (entry/exit), define safety-of-flight and mission risk management, airspace coordination and test hazard identification, analysis, and mitigation, and make go/no-go decisions for progression into ground and flight test events.
  • Establish and scale test processes, standards, and best practices aligned with DoD DT&E/OT&E expectations and operational test rigor.

Desired Qualifications

  • Experience supporting Autonomous Collaborative Platforms (ACP), loyal wingman concepts, or multi-vehicle autonomous systems.
  • Prior role as Flight Test Director, Test Conductor, or Lead Flight Test Engineer on full-scale aircraft programs.
  • Familiarity with military aviation test processes, including DT&E and OT&E frameworks.
  • Experience operating in or supporting government flight test ranges and operational environments.
  • Background in autonomy, AI/ML-enabled systems, or human-machine teaming in aviation contexts.
  • Experience with airworthiness processes, flight clearance, and configuration control for aircraft systems.
  • Familiarity with tools such as Git, Jira/Azure DevOps, and CI/CD pipelines.
  • Active 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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