Senior Engineer, Human Machine Teaming (R5648)

The Human Machine Teaming (HMT) Group at Shield AI is hiring an Engineer II or Senior Engineer to join our HMT Operations capability. At Shield AI, HMT refers to the design, management, and assurance of the adaptive relationships between operators and Hivemind-enabled mission autonomy—not just an interface problem, or a function-allocation exercise. This role keeps our HMT research and development (R&D) grounded in work as it is actually done, with real operators, under real tempo.

Working alongside the HMT Operations Lead, who owns operator engagement, you will conduct field research with Shield AI pilots, operators, and customer or external subject matter experts (SMEs). You will translate what you find into updates for the collaborative work requirement profiles that our design and experimentation capabilities act upon, and carry HMT expertise into product lines and the field.

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.

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 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.

Hands-on experience with human machine teaming, MUM-T, human-robot interaction, or applied artificial intelligence, specifically in mission autonomy applications such as UAV Groups 1–5.

Experience with mission planning, C2, battle management, and UAV or pilot training concepts, processes, and doctrine, and with ground control stations or HMIs.

Experience in scenario design, and with modeling and simulation tools and methods.

Experience conducting operational or training exercises in immersive simulation environments, and with and with developmental or operational test and evaluation, or readiness assessments with fielded systems.

Experience conducting after-action reviews, and generating lessons-learned or plans of action and milestones in a customer-facing or forward-deployed role.

Experience with designing or delivering UAV operator or pilot crew operational training.

Familiarity with traceability methods, or with AI assurance frameworks.

Willingness to use agentic AI to speed the path from design concept to fielded product.

U.S. DoD Secret clearance eligible, with the ability to obtain and maintain Top Secret, SCI, and/or SAP-level access. U.S. citizenship required.