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Quantum AI Integration Specialist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the frontier of 2026's technological revolution. We seek a visionary Quantum AI Integration Specialist to architect the convergence of quantum computing and artificial intelligence. This pivotal role bridges theoretical physics and practical machine learning deployment, creating solutions that redefine computational boundaries. You'll collaborate with Nobel laureates and Silicon Valley pioneers to develop quantum-resistant AI frameworks and pioneer next-gen neural networks.

Our lab operates at the intersection of quantum mechanics and deep learning, where we're building the infrastructure for tomorrow's computational ecosystem. This position offers unparalleled opportunities to shape the future of technology while working in our state-of-the-art facility overlooking the San Francisco Bay.

Responsibilities

  • Design and implement hybrid quantum-classical AI architectures for enterprise-scale applications
  • Develop quantum-resistant machine learning models to secure next-gen data ecosystems
  • Lead cross-functional teams of physicists and AI researchers in prototyping breakthrough systems
  • Create strategic roadmaps for quantum-AI integration across healthcare, finance, and logistics sectors
  • Translate complex quantum algorithms into deployable AI solutions using Qiskit and TensorFlow Quantum
  • Pioneer novel neural network architectures optimized for quantum processors
  • Present findings at global tech summits and publish in leading journals

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
  • Expertise in quantum machine learning frameworks (QML, PennyLane, Cirq)
  • Proven track record deploying production AI systems at scale
  • Deep understanding of quantum algorithms (Shor's, Grover's, QAOA) and their practical applications
  • Strong programming skills in Python, C++, and quantum-specific languages
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Microsoft Azure Quantum)
  • Published research in quantum-AI integration or related fields

Required Skills

Quantum Computing Machine Learning AI Architecture Qiskit TensorFlow Quantum Python C++ Cloud Quantum Platforms Quantum Algorithms Neural Networks

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