At Meta Reality Labs, we are inventing the future. We are a team of Engineers, Designers and Researchers creating wearable devices that leverage novel display, sensing, & AI capabilities to provide value and human connection to our users. As a Hardware UX Researcher on the Reality Labs team, you will plan, execute, and evangelize user-focused research that contributes to the strategy, product definition, and design of AR/VR technologies. Hardware UX researchers and human factors specialists are responsible for delivering technical expertise in areas like cognition, perception, biomechanics, and ergonomics, partnering with hardware engineering and industrial design to build best in class devices. The role will be responsible for developing foundational data sets and research-based, durable design principles to influence hardware development today and in the future, as well as conducting studies to directly inform product design and strategy. Strong candidates will demonstrate a rigorous and creative approach to scientific research methods as well as have experience shipping hardware products. Ultimately, your expertise and ingenuity in research must do more than just contribute to knowledge - you must also be skilled at driving measurable positive impact on product and the user experience.Bachelor's degree with 7+ years' of relevant experience in user experience, applied research and/or product research and development or a Master's degree and 5+ years' relevant experience, or PhD and 2+ year relevant experience Relevant experience within user experience, applied research setting and/or product research and development Interest in and experience executing hands-on, primary research Experience translating research findings into strategic narratives Doctor of Philosophy (Ph.D.) in relevant Human Factors and behavioral research areas such as cognitive science, HCI, industrial engineering, biomedical engineering, perceptual psychology, kinematics & biomechanics, or related fields Experience shipping consumer and wearable devices Experience combining qualitative and quantitative user data into cohesive insights Experience with wearable devices and inward/outward facing sensing technologies (e.g., eye-tracking, EMG, SLAM) Experience with experimental methodology, inferential statistics and modeling, kinematics analysis, EMG, EEG, eye-tracking and other approaches to measuring human performance