Hiring: Senior Engineer, Human Machine Teaming (R5649) Company: Shield AI Location: Washington, DC Job Posted Time: 2026-09-13 10:33:13 Employment Type: Full-time Target Skills & Keywords : AI, Python, R About the job Experience: •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. Required Skills: •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. •Design and run HMT experiments that instantiate baseline and context-sensitive collaborative work requirements profiles and test whether these hold under varied conditions. •Conduct robustness and resilience testing, perturbing, for instance, communications, sensor data, autonomy behavior, workload, and time pressure to find the limits of teaming. •Characterize the context sensitivity of requirements profiles across environments, platforms, and operator populations. •Extend operator-in-the-loop (OITL) and live-virtual-constructive (LVC) testing with HMT-specific experimentation. •Define HMT-specific quantitative and qualitative measures of performance, effectiveness, and success, build assessment batteries for operator situation awareness, workload, decision making, calibration, reliance, and trust, prepare research protocols, and analyze human-machine system data. •Translate findings into prioritized recommendations, revisions to requirements profiles, and feature requests for Development Leads, and co-create a shared HMT body of knowledge. •Contribute evidence to the HMT maturity scale, risk assessment, and the Hivemind assurance case, and report results to engineering and customer audiences. Qualifications: •A degree in human factors engineering or psychology, cognitive systems engineering, applied cognitive science, industrial and systems engineering, or a related field. •Solid functional 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. •Strong teamwork and collaboration skills, and written and verbal communication skills. •Applied hands-on capability in human machine teaming, MUM-T, human-robot interaction, or applied artificial intelligence, specifically in mission autonomy applications such as UAV Groups 1–5. •Operational familiarity with trust and reliance measurement and experience with robustness, resilience, or degraded and off-nominal scenario testing. •Operational 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. Compensation: •$140,000 - $210,000 / year •Pay within range listed + Bonus + Benefits + Equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!