What you'll do:
- Lead system-level integration, test planning, and validation for advanced autonomous aircraft systems
- Define and implement test architectures, methodologies, and strategies across simulation, HIL, VIL, and flight environments.
- Own and manage comprehensive test plans, defining objectives, success criteria, procedures, and resource needs.
- Architect and evolve test infrastructure and automation frameworks that enable scalable and repeatable validation.
- Define Hivemind Software test release processes and quality release gates. Collaborate closely with software, hardware, and systems engineering teams to ensure robust integration and system readiness.
- Conduct hands-on debugging and validation of autonomy, avionics, and control systems.
- Lead flight test preparation, system configuration, and real-time troubleshooting during live events.
- Develop tools and utilities in Python (and optionally C++) to support automation, data analysis, and telemetry validation.
- Establish test documentation standards, ensuring traceability, repeatability, and knowledge sharing across teams.
- Mentor and provide technical direction to junior and senior engineers, fostering a culture of technical rigor and continuous improvement.
- Partner with program and mission teams to communicate test readiness, progress, and system performance effectively.
Required qualification:
- Bachelor’s or Master’s degree in Engineering, Computer Science, Robotics, Aerospace Engineering, or related technical discipline.
- 8+ years of experience in system integration, test planning, and validation of complex systems—ideally within robotics, aerospace, or autonomy.
- Proven expertise in test planning, including test plan creation, test case design, and validation tracking and software quality release processes.
- Deep understanding of test infrastructure, automation, and validation methodologies.
- Strong proficiency in Python for scripting, automation, and analysis; working knowledge of C++ preferred.
- Experience architecting and maintaining Hardware-in-the-Loop (HIL), Vehicle-in-the-Loop (VIL), or similar real-time test systems.
- Proven ability to troubleshoot complex, multidisciplinary systems involving software, hardware, and controls.
- Demonstrated success leading technical projects, mentoring engineers, and defining test strategies for multi-system programs.
- Excellent communication and cross-functional collaboration skills.
- Adaptability, growth mindset, and willingness to learn new technologies quickly in a scaling, fast-paced environment.
- Self-starter with strong sense of urgency, initiative, and comfort operating in ambiguity.
- U.S. Citizenship and ability to obtain and maintain a SECRET clearance.
Preferred qualifications:
- Experience testing or integrating autonomous air, ground or sea vehicles.
- Background in defense, aerospace, or mission-critical robotics systems.
- Experience developing test infrastructure and automation frameworks at organizational scale.
- Familiarity with simulation and modeling tools for system-level validation.
- Knowledge of configuration management, verification processes, and data analytics for test reporting.
- Experience supporting flight test operations, including safety, instrumentation, and post-flight analysis.
Top Skills
What We Do
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide.
Why Work With Us
What makes Shield AI special is our people. We unlock the power of autonomy, and in the face of overwhelming odds and challenges, we find ways to win and make a difference for our customers. We bring together software, AI, and aerospace engineering disciplines to deploy the most intelligent aviation capabilities in the world.
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