Senior Engineer, Human Machine Teaming (R5649)

The Human Machine Teaming (HMT) Group at Shield AI is hiring an Engineer II or Senior Engineer to join our HMT Experimentation 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.

Working alongside the HMT Experimentation Lead, who owns HMT experimentation, research, and assessment, you will assist in establishing the HMT Experimentation Lab and help run the applied research and development (R&D) program behind our HMT design decisions. You will test whether collaborative work requirement profiles—the adaptive relationships—hold in practice, and conduct robustness testing that establishes where teaming works, degrades, and approaches failure.

If rigorous applied HMT-specific experimentation on in-development and fielded autonomous systems is what you want, 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.

Working knowledge of human machine teaming, human factors, and human performance theory and measurement, including cognitive task analysis and knowledge elicitation.

Sound grasp of quasi-/experimental design, between- and within-participant designs, and control of extraneous confounds, experience conducting human participants research, proficiency with multivariate statistical analyses and tools (e.g., SPSS, R, Python), and ability to translate results into design recommendations.

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.

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 developmental or operational test and evaluation, including OITL and LVC testing.

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

Familiarity with trust and reliance measurement and experience with robustness, resilience, or degraded and off-nominal scenario testing.

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

Familiarity with traceability methods, or with AI assurance frameworks.

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

Prior work with military operators, pilots, or subject matter experts, or an aircrew background.

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.