Hiring: Senior Engineer, Human Machine Teaming (R5648) Company: Shield AI Location: Washington, DC Job Posted Time: 2026-09-13 10:33:14 Employment Type: Full-time Target Skills & Keywords : AI, Embedded Systems, R About the job Experience: •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. Required Skills: •If you are equally comfortable in a squadron ready room, on a test range, and in a design review, this is your opportunity to make a lasting impact. •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. Qualifications: •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. •Solid functional 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. •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. •Applied hands-on capability in human machine teaming, MUM-T, human-robot interaction, or applied artificial intelligence, specifically in mission autonomy applications such as UAV Groups 1–5. •Operational familiarity with traceability methods, or with AI assurance frameworks. Compensation: •$140,000 - $210,000 / year •Pay within range listed + Bonus + Benefits + Equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!