Senior Engineer, Human Machine Teaming (R5651)

Senior Engineer, Human Machine Teaming (R5651) at Shield AI scores 27 out of 100 on AI centrality, which makes it a Level 1 role on this board.

Washington, D.C.seniorFull Time Employee$140k-$210k

AI in this role

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 Design 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. Across industry, HMT is often an ad hoc practice, staffed with HMI/UX/UI rather than HMT specialists. In this role, you will implement a systematic, standardized, yet context-sensitive approach to HMT design that is both scalable and traceable in practice.

Working alongside the HMT Design Lead, who owns the collaborative work requirement profile generation process, you will determine HMT-specific requirements across use cases, identify contextual factors that moderate requirements, and translate baselines into context-sensitive design patterns that support adaptivity. You will work with other HMT capabilities to design scenarios, refine testing procedures, and generate HMI feature requests that improve collaboration.

If you want to define how an entire company designs operator-autonomy relationships rather than one interface at a time, this is your opportunity to make a lasting and scalable impact.