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Quantum AI Research Lead

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the forefront of technological evolution at Nexus Quantum Dynamics, where we're pioneering the next wave of quantum-AI convergence. As we approach 2026, we seek a visionary Quantum AI Research Lead to architect breakthrough solutions that will redefine computing paradigms. You'll lead a multidisciplinary team in developing hybrid quantum neural networks while collaborating with industry titans like IBM Quantum and Google AI. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical models into commercial applications.

Responsibilities

  • Design and implement quantum-AI hybrid algorithms for next-gen computational systems
  • Lead cross-functional teams of quantum physicists and ML engineers
  • Develop proprietary error-correction protocols for quantum neural networks
  • Secure $5M+ in research grants from NSF and DARPA initiatives
  • Publish findings in Nature Quantum Information and IEEE journals
  • Mentor PhD candidates in quantum machine learning programs
  • Partner with Silicon Valley VCs to commercialize quantum applications

Qualifications

  • PhD in Quantum Computing, Physics, or Computational Science
  • 5+ years experience with quantum algorithms and AI/ML frameworks
  • Published research in top-tier quantum/AI journals (h-index >20)
  • Proficiency in Qiskit, Cirq, and TensorFlow Quantum
  • Track record of securing federal research grants
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in distributed quantum computing architectures

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Python TensorFlow Qiskit Research Leadership Grant Writing

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