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Quantum AI Integration Specialist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join the frontier of technological evolution at Nexus Quantum Labs, where we're pioneering the next generation of AI-quantum hybrid systems. As a Quantum AI Integration Specialist, you'll architect revolutionary solutions that redefine computational boundaries. Our cutting-edge environment fosters breakthrough research in quantum machine learning, cryptography, and neural network optimization. This role offers unparalleled opportunities to shape the digital landscape of 2026 and beyond, collaborating with Nobel laureates and industry disruptors in a culture that celebrates intellectual audacity.

We provide competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art quantum research facilities. Your work will directly impact breakthroughs in drug discovery, climate modeling, and autonomous systems – solving humanity's most pressing challenges through quantum-powered intelligence.

Responsibilities

  • Design and implement quantum-classical hybrid AI architectures for complex problem-solving
  • Develop novel quantum algorithms to accelerate machine learning model training
  • Lead cross-functional teams in integrating quantum processors with classical ML frameworks
  • Conduct pioneering research in quantum neural networks and quantum-enhanced NLP
  • Collaborate with hardware teams to optimize quantum circuit performance for AI applications
  • Publish breakthrough research in top-tier quantum computing and AI conferences
  • Secure venture funding through intellectual property development and patent filings

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
  • 5+ years experience in quantum algorithm development or quantum machine learning
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#) and classical ML frameworks
  • Published research in quantum computing or AI (NeurIPS, ICML, QIP, or similar)
  • Strong background in linear algebra, quantum mechanics, and high-performance computing
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Azure Quantum)
  • Demonstrated ability to translate complex quantum concepts into practical AI solutions

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Python C++ Qiskit TensorFlow PyTorch Quantum Cryptography High-Performance Computing

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