Senior Engineer, Human Machine Teaming (R5649)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

What you'll do:: Design and run HMT experiments that instantiate baseline and context-sensitive collaborative work requirements profiles and test whether these hold under varied conditions. Conduct robustness and resilience testing, perturbing, for instance, communications, sensor data, autonomy behavior, workload, and time pressure to find the limits of teaming. Characterize the context sensitivity of requirements profiles across environments, platforms, and operator populations. Extend operator-in-the-loop (OITL) and live-virtual-constructive (LVC) testing with HMT-specific experimentation. Define HMT-specific quantitative and qualitative measures of performance, effectiveness, and success, build assessment batteries for operator situation awareness, workload, decision making, calibration, reliance, and trust, prepare research protocols, and analyze human-machine system data. Translate findings into prioritized recommendations, revisions to requirements profiles, and feature requests for Development Leads, and co-create a shared HMT body of knowledge. Contribute evidence to the HMT maturity scale, risk assessment, and the Hivemind assurance case, and report results to engineering and customer audiences. Travel to company, test, demonstration, and customer locations to conduct project work (approximately 25%). Required qualifications:: Engineer II: typically requires a minimum of 2 years of related experience with a Bachelor's degree; or 0 years and a Master's degree; or a PhD without experience. Senior Engineer: typically requires a minimum of 3–5 years of related experience with a Bachelor's degree; or 2–4 years and a Master's degree; or 2 years with a PhD; or equivalent work experience. A degree in human factors engineering or psychology, cognitive systems engineering, applied cognitive science, industrial and systems engineering, or a related field. Working knowledge of human machine teaming, human factors, and human performance theory and measurement, includin