Lead technical authority for integration, verification, and flight test of Hivemind AI autonomy on Group 5 UAS/ACP platforms. Own test strategy, execution, infrastructure, and risk decisions across multi-phase campaigns involving simulation through full-scale flight operations.
210k – 310k
On-site15+ YOEQA Engineering
About the role
Responsibilities
Act as Test Director 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 & 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 working 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 to ultimately 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
Requirements
Typically requires 15+ years of experience with a Bachelor’s degree; or 14+ years with a Master’s; or 12+ 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 & 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
Excellent technical leadership and communication skills, including briefing to senior leadership and external customers
Ability to obtain and maintain a SECRET clearance; U.S. citizenship required
Nice-to-Haves
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
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