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Job Overview
Location
Dallas Metro Area
Job Type
Full-time
Category
Software Engineering
Date Posted
October 9, 2025
Full Job Description
đź“‹ Description
- • Own the end-to-end verification and validation of Shield AI’s full aircraft software stack—autonomy, flight-controller, and ground-control-system—ensuring every line of code is battle-ready before it ever leaves the lab.
- • Architect and execute mission-level test scenarios that replicate the chaos of real-world operations: GPS-denied environments, comms dropouts, sensor degradation, and adversarial interference, guaranteeing our V-BAT aircraft behaves flawlessly when lives depend on it.
- • Build and continuously evolve a state-of-the-art test infrastructure that fuses hardware-in-the-loop rigs, vehicle-in-the-loop labs, and cloud-scale simulation farms into a single, push-button pipeline that delivers nightly qualification reports to every engineer.
- • Design automated integration test harnesses in Python and C++ that exercise cross-subsystem interfaces under thousands of permutations, catching regressions before they reach the flight line and shaving weeks off release cycles.
- • Lead cross-functional test-readiness reviews with autonomy, embedded, and GCS teams, translating ambiguous operational concepts into precise, measurable acceptance criteria that map directly to DO-178C and internal safety standards.
- • Author and maintain living test plans, traceability matrices, and release-readiness dashboards that give leadership instant visibility into quality trends, risk burn-down, and certification status across the entire Systems-Vee lifecycle.
- • Instrument test artifacts with real-time telemetry analytics, producing performance baselines for flight-control latency, mission-planning accuracy, and swarm-coordination efficiency that feed directly into engineering OKRs.
- • Troubleshoot the gnarliest integration failures—race conditions between autonomy and flight controller, timing drift in sensor fusion, or memory leaks in mission replanning—using gdb, Wireshark, and custom Python analyzers to root-cause issues down to the bit.
- • Mentor junior test engineers and software developers on test-first design, property-based testing, and statistical validation techniques, raising the quality bar across the organization.
- • Champion a culture of relentless automation, eliminating manual test steps wherever possible and freeing human creativity for exploratory testing at the edge cases that machines can’t yet imagine.
- • Partner with flight-test pilots and field operators to translate observed mission anomalies into new regression tests, closing the loop between operational feedback and continuous improvement.
- • Present monthly quality insights to the executive team, translating technical debt, risk exposure, and certification readiness into actionable business decisions that keep programs on schedule and under budget.
🎯 Requirements
- • 6–7+ years testing complex, safety-critical software systems—ideally robotics, aerospace, or autonomous vehicles—with a B.S. (M.S./Ph.D. preferred) in CS, Systems Engineering, or related STEM field.
- • Demonstrated mastery of test automation in Python and C++, including CI/CD pipelines, Docker, and artifact management (Artifactory or similar).
- • Proven ability to design and execute elaborate, model-based test campaigns that span simulation, HIL, and real-world environments.
- • Strong mathematical foundation for analyzing aircraft physics, control theory, and sensor-fusion algorithms.
- • Experience producing rigorous technical documentation: test plans, traceability matrices, qualification reports, and release-readiness dashboards.
🏖️ Benefits
- • Competitive base salary of $150K–$225K plus annual performance bonus and meaningful equity in a venture-backed deep-tech leader.
- • Comprehensive medical, dental, vision, and life insurance from day one, plus 401(k) with company match and flexible PTO.
- • Relocation assistance to the vibrant Dallas Metro Area and eligibility for future internal mobility across nine global offices.
- • Continuous learning stipend, conference attendance, and access to cutting-edge autonomy labs and flight-test ranges.
Skills & Technologies
About Shield AI, Inc.
Shield AI develops autonomous systems and artificial intelligence for defense and commercial aviation. Its Hivemind AI pilot enables unmanned aircraft and drones to operate without GPS, communications, or remote pilots. The company’s products include the V-BAT vertical takeoff and landing drone and software for fighter aircraft autonomy. Founded in 2015, Shield AI serves U.S. and allied military forces, focusing on contested environments and battlefield applications. The company integrates machine learning, sensor fusion, and edge computing to provide resilient, intelligent platforms for intelligence, surveillance, reconnaissance, and strike missions.
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