Senior Engineer, Human Machine Teaming (R5648)

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:: Plan and conduct field research using ethnographic methods, observation, knowledge elicitation, and cognitive task analysis with the customer, operators, and pilots. Conduct front-end human factors analyses to decompose the collaborative work that characterizes real operations. Produce mission threads, baseline use cases, and context-sensitive variants of baselines that drive design and experimentation. Support translation of operator needs into collaborative work requirement profiles in concert with other HMT staff. Support operational and readiness assessment exercises with fielded systems, including field testing under real tempo, degraded communications, and off-nominal events. Provide embedded HMT support within major product lines, aligned to Shield AI’s HMT strategy. Support HMT after-action review and debrief procedures, and feed lessons learned back into requirements profiles, risk assessments, HMI design, and training. Manage operator and SME engagement end to end, from scheduling and consent through data handling and participant feedback. Contribute to adoption playbooks and training content, and prepare trip reports and briefings containing product recommendations. Travel to company, test, demonstration, and customer locations to conduct project work (approximately 40%). 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, or equivalent operational experience. Demonstrated ability to plan and execute field studies or operational assessments with