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2026 Quantum UX Architect

Nexus Quantum Dynamics
Austin
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're seeking a visionary Quantum UX Architect to redefine human-computer interaction through quantum interfaces. You'll pioneer immersive experiences that merge quantum computing with intuitive design, transforming industries from healthcare to logistics.

Our Austin hub offers state-of-the-art quantum labs and a culture where innovation thrives. Collaborate with Nobel laureates and design futurists to build interfaces that make quantum complexity feel human. This is your chance to shape the future of digital interaction.

Responsibilities

  • Design quantum-responsive interfaces using QML and holographic projection systems
  • Develop empathic AI assistants capable of anticipating user needs through quantum entanglement
  • Lead cross-disciplinary teams of physicists, neuroscientists, and UX designers
  • Create quantum accessibility standards for neurodiverse and disabled users
  • Prototype multi-sensory experiences leveraging quantum sensory substitution
  • Conduct real-time A/B testing across quantum-entangled user cohorts
  • Document quantum UX principles in our 2026 Interaction Framework

Qualifications

  • 5+ years in UX design with quantum computing certification (IBM Q, Google Quantum)
  • Portfolio showcasing holographic or neuro-interfaced projects
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq)
  • PhD in Human-Computer Interaction or equivalent practical experience
  • Proficiency in quantum-adjacent tools: Unity XR, HoloLens SDK, Neuralink API
  • Published research in quantum ergonomics or sensory augmentation
  • Experience with ISO 42010 quantum architecture standards
  • Fluency in at least one quantum programming language (Q# or Qiskit)

Required Skills

Quantum UX Holographic Design QML Neuro-Interfaces Qiskit Empathic AI Quantum Machine Learning Sensory Substitution

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