Software Multi-Modal UX Input Designer

Key Responsibilities: Input Models: Pioneer the interaction models for how humans converse, gesture, gaze, touch, and command our ambient AI ecosystem. Modality Transitions: Design natural handoffs between inputs—such as transitioning effortlessly from a voice command to spatial touch or subtle gaze selection. Intent & Disambiguation: Architect system behaviors for handling ambiguous AI inputs, fuzzy voice commands, and multi-threaded user intent. Interaction Prototyping: Build dynamic interaction simulations that test the responsiveness, latency tolerances, and feedback loops of non-traditional inputs. Sensor-Driven UX Architecture: Translate hardware sensor capabilities (cameras, microphones, spatial arrays) into intuitive, human-centered interaction guidelines. Basic

8+ years in UX design, interaction design, or HCI research with a heavy focus on input mechanics. Bachelor’s or Master’s in HCI, Cognitive Science, Interaction Design, Computer Science, or equivalent. Must be able to adhere to our hybrid policy and come into the office in Morrisville, North Carolin x3 a week Preferred Qualifications: Behavioral Background: You deeply understand human ergonomics, cognitive load, and natural communication habits, applying them to human-machine interaction. Empathetic Prototyper: You excel at mocking up invisible interactions, making abstract triggers concrete for user testing and stakeholder review. Technical Bridge: You are equally comfortable discussing hardware sensor constraints with engineers and human-centered workflows with designers. Systems Thinker: You are comfortable mapping complex decision trees, fallback states, and conversation design logic for nonlinear user journeys. Multimodal Fluency: You have hands-on experience designing across voice, spatial/gesture, gaze, and tactile input modalities, knowing the strengths and failure modes of each. Robust portfolio demonstrating end-to-end design of non-traditional input systems (voice, spatial, gesture, or multi-modal). Proven record of user testing and validating complex input behavioral models. Deep familiarity with hardware sensor ecosystems and software interaction loops. Background in Conversational Design (VUI), linguistics, or cognitive science. Deep understanding of human-computer interaction (HCI) methodologies. Prototyping experience using Unity, Unreal, or specialized physical computing environments. Experience with spatial computing platforms (VisionOS, Meta Quest, HoloLens).