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Quantum AI Futurist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum-AI fusion systems for 2026. We seek a visionary Quantum AI Futurist to architect next-generation computational paradigms that will redefine human-machine collaboration. This role bridges theoretical physics, advanced machine learning, and ethical AI governance to create solutions for climate modeling, personalized medicine, and autonomous systems. You'll lead a cross-disciplinary team in developing fault-tolerant quantum neural networks while ensuring alignment with human-centric values.

What you'll achieve:

  • Design scalable quantum-AI hybrid architectures
  • Lead breakthrough research in quantum machine learning
  • Shape ethical frameworks for 2026 AI deployment
  • Collaborate with Nobel laureates and industry pioneers

Responsibilities

  • Architect quantum-AI fusion systems with 99.9% fault tolerance
  • Develop proprietary quantum neural networks for predictive modeling
  • Lead research initiatives in quantum-enhanced natural language processing
  • Establish governance protocols for autonomous quantum decision engines
  • Present breakthrough findings at global tech summits
  • Mentor next-gen quantum-AI specialists
  • Secure $10M+ in R&D funding for 2026 initiatives

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or AI
  • 5+ years experience in quantum algorithm development
  • Published research in Nature/Science on quantum-AI integration
  • Expertise in topological quantum error correction
  • Proficiency in Qiskit, Cirq, and TensorFlow Quantum
  • Deep understanding of quantum supremacy thresholds
  • Proven track record of leading patentable innovations
  • Fluency in ethical AI frameworks (EU AI Act, NIST RMF)

Required Skills

Quantum Computing Machine Learning Theoretical Physics Neural Networks AI Ethics Qiskit Cirq TensorFlow Quantum Fault-Tolerant Systems Predictive Modeling

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