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Quantum AI Research Lead

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

Job Description

Join Nexus Quantum Labs as a Quantum AI Research Lead to architect the next generation of intelligent systems. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges by 2026. You'll lead a multidisciplinary team in developing revolutionary algorithms that push the boundaries of computational possibility.

Our 2026 Initiative requires a visionary who can translate theoretical quantum advantage into practical AI applications. This role offers unparalleled resources and autonomy to transform industries—from drug discovery to climate modeling—through quantum neural networks and hybrid quantum-classical systems.

Responsibilities

  • Design and implement quantum AI algorithms for computational acceleration
  • Lead a team of quantum researchers and AI specialists
  • Develop hybrid quantum-classical machine learning frameworks
  • Collaborate with hardware teams to optimize quantum circuit designs
  • Secure research funding through NSF and DARPA proposals
  • Publish breakthrough research in Nature/Science journals
  • Mentor PhD candidates in quantum machine learning

Qualifications

  • PhD in Quantum Computing, AI, or Physics (postdoc preferred)
  • 5+ years in quantum algorithm development
  • Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
  • Publication record in top-tier quantum/AI conferences
  • Experience leading cross-disciplinary research teams
  • Deep understanding of NISQ-era hardware limitations
  • Strong background in tensor networks and quantum error correction

Required Skills

Quantum Computing Machine Learning AI Research Algorithm Design Team Leadership Scientific Publishing Quantum Machine Learning

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