You will: Define the system-level architecture for fusing spatial input (hand, wrist, eye, head) with keyboard/mouse/trackpad signals into a single, low-latency interaction model Set and validate an ambitious input-efficiency improvement target against Mac-only baselines, across representative productivity tasks (text entry, navigation, selection, precision pointing) Own the specification for how our vision products preserve best-in-class high-rate text input - keyboard remains the backbone for speed; fusion must augment it, not compete with it Build the measurement methodology and test harness for input efficiency (throughput, error rate, correction cost) and for fatigue/comfort (physical and cognitive), and treat the two as co-primary metrics - no speed win counts if it costs comfort Decompose the fused-input experience into system requirements and drive them through sensor, firmware, input-stack, and macOS-integration teams Partner closely with Sense & Constellation (sensor selection/config), Display Systems (latency budget), hand/eye tracking, human factors, and product design to land a coherent end-to-end spec Run structured human-performance studies, own the resulting data, and be the teams authority on whats actually faster versus what only feels fasterBachelors degree in Electrical Engineering, Computer Science, Robotics, Human Factors/Human-Computer Interaction, or a related field 6+ years of experience in systems engineering, HCI, or input-technology roles, ideally on shipped consumer hardware Deep experience in systems engineering for human input devices (HID), sensor fusion, or human-computer interaction on shipping consumer hardware Experience with sensor fusion algorithms and multi-modal input systems Fluency in the trade-offs between input speed, precision, and physical/cognitive fatigue across keyboard, trackpad, mouse, and spatial (hand/eye/head) trackingmodalities Track record of defining and driving end-to-end system requirements across sensors, firmware, the OS input stack, and application layer Comfortable owning ambiguous, cross-functional problems that span hardware, firmware, ML/perception, human factors, and macOS software integration Excellent written and verbal communication skills, with the ability to turn a fuzzy product ambition into a testable spec with clear acceptance criteriaMasters degree in Electrical Engineering, Computer Science, Robotics, Human Factors/Human-Computer Interaction, or a related field Experience designing and running quantitative human-performance studies (e.g. words-per-minute, Fittss-law target acquisition, task completion time) and defensibly translating results into system/product requirements Working knowledge of fatigue and comfort measurement methods (EMG, perceived exertion scales, longitudinal wear studies) - including evaluating physical and/or cognitive fatigue in wearable or prolonged-use hardware - and how to hold comfort constant while pushing performance Experience building or integrating novel text-entry or pointing techniques, or shipping input features that combine wearable sensors with traditional peripherals Publications, patents, or shipped features in multi-modal input, text entry, or spatial interaction.