Senior Engineer, Human Machine Teaming
Conduct field research and human factors analysis with pilots, operators, and customers to shape collaborative work requirements, mission autonomy design, training, and readiness assessments. The role requires human-machine teaming expertise, operational research experience, and comfort working in field and test environments.
About the job
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 to drive design and experimentation.
- Translate operator needs into collaborative work requirement profiles with HMT staff.
- Support operational and readiness assessments, including field testing under real tempo, degraded communications, and off-nominal events.
- Provide embedded human-machine teaming support within major product lines.
- Support after-action reviews and debriefs, feeding lessons learned into requirements, risk assessments, HMI design, and training.
- Manage operator and subject matter expert engagement from scheduling and consent through data handling and participant feedback.
- Contribute to adoption playbooks and training content; prepare trip reports and product recommendation briefings.
- Travel to company, test, demonstration, and customer locations, approximately 40%.
Requirements
- Senior Engineer qualifications generally include 3–5 years of related experience with a bachelor's degree, 2–4 years with a master's degree, 2 years with a PhD, or equivalent experience.
- Degree in human factors engineering, psychology, cognitive systems engineering, applied cognitive science, industrial and systems engineering, a related field, or equivalent operational experience.
- Experience planning and executing field studies or operational assessments with human participants and reporting findings to engineering and operator/customer audiences.
- Working knowledge of human-machine teaming, human factors, human performance, training theory and measurement, cognitive task analysis, knowledge elicitation, and needs analysis.
- Ability to work in operational environments such as flight lines, ranges, exercises, and customer sites without disrupting missions.
- Experience in multidisciplinary settings and complex, ambiguous problem spaces.
- Strong teamwork, collaboration, written communication, and verbal communication skills.
- U.S. citizenship required; eligible for a U.S. DoD Secret clearance and able to obtain and maintain Top Secret, SCI, and/or SAP-level access.
Nice-to-haves
- Operational background as aircrew, UAV operator, mission commander, or in intelligence or C2/battle management.
- Experience with human-machine teaming, MUM-T, human-robot interaction, applied artificial intelligence, and mission autonomy applications involving UAV Groups 1–5.
- Experience with mission planning, C2, battle management, UAV or pilot training, doctrine, ground control stations, or HMIs.
- Experience with scenario design, modeling, and simulation tools and methods.
- Experience with immersive simulation exercises, 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 customer-facing or forward-deployed roles.
- Experience designing or delivering UAV operator or pilot crew operational training.
- Familiarity with traceability methods or AI assurance frameworks.
- Willingness to use agentic AI to accelerate product development.
Compensation
- Annual salary: $140,000–$210,000.
Skills
Human-Machine Teaming, Human Factors, Ethnographic Research, Cognitive Task Analysis, Knowledge Elicitation, Needs Analysis, Human Performance, Training Theory, Mission Planning, Battle Management, Uav Operations, Ground Control Stations, Human-Machine Interfaces, Modeling And Simulation, Ai Assurance
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