Job Description
Join Nexus Labs at the forefront of human-computer symbiosis as we architect the digital experiences of 2026. We seek a visionary Quantum UX Architect to redefine interaction paradigms through neuro-interfaces and adaptive AI. This role blends cutting-edge neuroscience with bleeding-edge design to create interfaces that anticipate human needs before they arise. You'll lead our 'Project Synapse' initiative, developing quantum-entangled user experiences that seamlessly merge physical and digital realities.
Our Austin-based innovation hub offers unparalleled resources for prototyping next-gen interfaces. You'll collaborate with Nobel laureates, neuro-engineers, and AI researchers in a culture that celebrates intellectual audacity. We provide competitive equity packages, unlimited wellness stipends, and flexible quantum-remote work options.
Responsibilities
- Design quantum-entangled user experiences leveraging neural interface technology
- Develop adaptive AI systems that predict user intent with 99.7% accuracy
- Lead cross-disciplinary teams in prototyping holographic and AR/VR interfaces
- Architect neuro-responsive feedback loops for real-time cognitive augmentation
- Establish ethical frameworks for human-AI symbiosis in 2026 ecosystems
- Drive innovation in biometric authentication and emotion-aware interfaces
- Partner with neuroscientists to validate cognitive load optimization protocols
Qualifications
- 10+ years in UX design with 5+ years in emerging tech or neuro-interfaces
- Expertise in quantum computing principles and their application to user experience
- Published research in cognitive neuroscience or adaptive AI systems
- Portfolio demonstrating work with AR/VR, brain-computer interfaces, or generative AI
- PhD in Human-Computer Interaction, Cognitive Science, or related field
- Proficiency in neuro-imaging analysis tools (EEG, fMRI) and quantum UX frameworks
- Experience leading cross-functional teams in agile innovation environments
- Certification in ethical AI design from recognized institutions (e.g., IEEE, ACM)