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Quantum AI Researcher 2026

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next frontier of human-machine collaboration. We seek visionary Quantum AI Researchers to architect intelligent systems that transcend traditional computing paradigms. This role offers unparalleled opportunities to shape the digital landscape of 2026 and beyond, working in state-of-the-art facilities with access to bleeding-edge quantum hardware and neural interfaces.

What you'll achieve: Design novel quantum algorithms that solve previously intractable problems, develop hybrid AI-quantum frameworks for autonomous decision-making, and contribute to breakthroughs in computational neuroscience. You'll collaborate with Nobel laureates and industry pioneers while accelerating the commercialization of quantum technologies.

Responsibilities

  • Architect and implement quantum algorithms for machine learning optimization
  • Develop neural interfaces bridging quantum computing and human cognition
  • Lead cross-functional teams in building autonomous quantum-AI systems
  • Secure funding through cutting-edge research proposals to NSF and DARPA
  • Publish breakthrough findings in Nature Quantum and Science Robotics
  • Commercialize quantum solutions for Fortune 500 clients
  • Mentor PhD candidates in quantum-AI convergence research

Qualifications

  • PhD in Quantum Computing, Theoretical Computer Science, or Computational Physics
  • 5+ years of experience with quantum circuit design and error correction
  • Published research in quantum machine learning or quantum neural networks
  • Expertise in Python, Qiskit, and quantum cloud platforms (IBM/AWS)
  • Proven track record of securing federal research grants
  • Deep understanding of quantum decoherence mitigation strategies
  • Experience with neuromorphic computing architectures

Required Skills

Quantum Computing Machine Learning Neural Interfaces Quantum Algorithms Error Correction Qiskit Theoretical Physics AI Research

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