Senior Engineer, Human Machine Teaming (R5648)

@ Shield AI
Shield AIshieldai.com

Senior Engineer, Human Machine Teaming (R5648)

Posted today

About the job

Shield AI develops defense-tech solutions including Hivemind software and autonomous aircraft to support global operations, focusing on human-machine teaming and mission autonomy.

Requirements

  • Experience planning and conducting field studies
  • Knowledge of human factors and performance
  • Operational experience with operators or pilots
  • Ability to work in complex, ambiguous environments
  • Strong teamwork and communication skills

Qualifications

  • Degree in human factors or related field
  • Experience in operational assessments
  • Ability to gather data in operational environments
  • Strong written and verbal skills
  • Experience in multidisciplinary settings

Full job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

Job Description:

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.


What you'll do:

  • Plan and conduct field research using ethnographic methods, observation, knowledge elicitation, and cognitive task analysis with the customer, operators, and pilots.
  • Conduct front-end human factors analyses to decompose the collaborative work that characterizes 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 in concert with other HMT staff.
  • Support operational and readiness assessment exercises with fielded systems, including field testing under real tempo, degraded communications, and off-nominal events.
  • Provide embedded HMT support within major product lines, aligned to Shield AI’s HMT strategy.
  • Support HMT after-action review and debrief procedures, and feed lessons learned back into requirements profiles, risk assessments, HMI design, and training.
  • Manage operator and SME engagement end to end, from scheduling and consent through data handling and participant feedback.
  • Contribute to adoption playbooks and training content, and prepare trip reports and briefings containing product recommendations.
  • Travel to company, test, demonstration, and customer locations to conduct project work (approximately 40%).

Required qualifications:

  • 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.

    • 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, 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.


    • Full-time regular employee offer package:

    Pay within range listed + Bonus + Benefits + Equity

    Temporary employee offer package:

    Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

    Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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    Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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