Senior Engineer, Human Machine Teaming (R5648)

Job description

Job responsibilities

• 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.

Job requirements

• 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.
• 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 human participants, and report findings to engineering and operator/customer audiences.
• Working knowledge of human machine teaming, human factors, human performance, and training theory and measurement, including cognitive task analysis, knowledge elicitation, and needs analysis.
• Comfort working in operational environments such as flight lines, ranges, exercises, and customer sites, gathering good data without disrupting the mission.
• Experience in multidisciplinary settings, and ability to work in complex, ambiguous problem spaces and produce clear and structured artifacts.
• Strong teamwork and collaboration skills, and written and verbal communication skills.
• Operational background as aircrew, UAV operator, mission commander, or in intelligence or C2/battle management.