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Quantum UX Research Lead

NeuroSync Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join NeuroSync Dynamics at the forefront of human-computer symbiosis in 2026. We're seeking a visionary Quantum UX Research Lead to decode neural interaction patterns and redefine digital experiences. This pivotal role bridges neuroscience, quantum computing, and behavioral science to create interfaces that anticipate human thought before it's consciously formed. You'll lead cross-disciplinary teams in developing empathy-driven solutions for healthcare, education, and sustainability sectors. Our Austin hub offers a hybrid work model with state-of-the-art neuro-labs and unlimited innovation sprints. If you thrive at the intersection of technology and human potential, this is your moment to shape the future.

Responsibilities

  • Design and execute neural interaction protocols using quantum-enhanced biometric sensors
  • Lead neuro-diverse user cohorts for predictive behavior modeling across 12 industries
  • Develop ethical frameworks for thought-responsive AI systems
  • Architect neuro-feedback loops for real-time interface adaptation
  • Collaborate with quantum computing teams to process petabyte-scale neural datasets
  • Pioneer emotion-anticipatory UI/UX methodologies
  • Present findings to C-suite and patent board for commercialization

Qualifications

  • PhD in Cognitive Neuroscience or Human-Computer Interaction with quantum computing specialization
  • 5+ years leading neuro-UX research teams in Fortune 500 environments
  • Published work in IEEE Transactions on Neural Systems or Nature Human Behaviour
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq)
  • Proficiency in fNIRS/EEG integration with VR/AR ecosystems
  • Portfolio demonstrating thought-responsive interface prototypes
  • Active member of IEEE Quantum Standards Association
  • Clearance for handling classified neuro-data projects

Required Skills

Quantum Computing Neuro-UX Research Predictive Modeling Ethical AI Brain-Computer Interfaces fNIRS/EEG Analysis QML Frameworks Human-Centered Design

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