Senior Engineer, Human Machine Teaming (R5651)

Job description

Job responsibilities

• Build and maintain baseline collaborative work requirement profiles for core operational functions, and generate profile variants for edge and off-nominal cases.
• Define requirements profiles by the operator-autonomy relationship, and document the associated mission risks.
• Classify the degree of operator-autonomy interdependency for a given function, task, or mission thread, and make hard and soft dependencies explicit.
• Map requirements profiles to systems engineering requirements and feature requests, and maintain traceability from operational need through test and acceptance.
• Evolve a repeatable HMT workflow, including HMT standards, design patterns, and review criteria, and co-create a shared HMT body of knowledge.
• Collaborate with HMI and UX/UI designers to turn requirements profiles into design guidance, review interface designs for mission planning, C2, and battle management tools, and with HMT staff to evaluate scenario…
• Advocate for human perceptual and cognitive considerations in sensemaking and decision-making tools, and ensure compliance with customer human factors standards.
• Present designs, rationale, and supporting evidence to multiple audiences, and review technical and systems engineering documentation.

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.
• Demonstrated experience translating operational HMT experimentation into design guidance, and system requirements.
• 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, experience conducting human participants research, and proficiency with multivariate statistical analyses and tools (e.g., SPSS, R, Python).
• 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.