Senior Engineer, Human Machine Teaming (R5648)

Shield AI is seeking a Senior Engineer to join its Human Machine Teaming (HMT) Operations capability. The successful candidate will work alongside the HMT Operations Lead to conduct field research with Shield AI pilots, operators, and customer or external subject matter experts (SMEs). They will translate findings into updates for collaborative work requirement profiles that drive design and experimentation.

Responsibilities:

• Plan and conduct field research using ethnographic methods, observation, knowledge elicitation, and cognitive task analysis with customers, operators, and pilots.
• Conduct front-end human factors analyses to decompose collaborative work in 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.
• Support operational and readiness assessment exercises with fielded systems.
• Provide embedded HMT support within major product lines.
• Support HMT after-action review and debrief procedures.
• Manage operator and SME engagement end-to-end.
• Contribute to adoption playbooks and training content.
• Travel to company, test, demonstration, and customer locations (approximately 40%).

Requirements:

• A degree in human factors engineering or psychology, cognitive systems engineering, applied cognitive science, industrial and systems engineering, or a related field.
• Demonstrated ability to plan and execute field studies or operational assessments with human participants.
• Working knowledge of human machine teaming, human factors, human performance, and training theory and measurement.
• Comfort working in operational environments.
• Experience in multidisciplinary settings.
• Strong teamwork and collaboration skills.

Preferred Qualifications:

• 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.
• Experience with mission planning, C2, battle management, and UAV or pilot training concepts.
• Experience in scenario design, and with modeling and simulation tools and methods.
• Experience conducting operational or training exercises in immersive simulation environments.
• Familiarity with traceability methods, or with AI assurance frameworks.
• Willingness to use agentic AI.
• U.S. DoD Secret clearance eligible, with the ability to obtain and maintain Top Secret, SCI, and/or SAP-level access.