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2026 Quantum AI Research Lead

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As our Quantum AI Research Lead, you'll architect breakthrough systems that will redefine industries by 2026. Work alongside Nobel laureates in our state-of-the-art facility in San Francisco, where your innovations will shape the next decade of technological advancement.

Responsibilities

  • Lead quantum AI algorithm development for 2026-era computational architectures
  • Design hybrid quantum-classical neural networks for exponential speedups
  • Collaborate with physics teams to optimize qubit stability in next-gen processors
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Translate theoretical models into production-ready quantum AI applications
  • Present breakthrough findings at global technology forums and summits
  • Mentor interdisciplinary teams of quantum physicists and AI specialists

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
  • 5+ years in quantum algorithm development with published papers
  • Expertise in quantum machine learning frameworks (e.g., Qiskit, PennyLane)
  • Proven experience with quantum hardware (IBM Q, Rigetti, or similar)
  • Deep understanding of tensor networks and quantum entanglement principles
  • Strong background in Python/C++ and high-performance computing
  • Track record of securing R&D funding from DARPA or NSF
  • Vision for 2026 technological landscape and quantum AI applications

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Quantum Algorithms High-Performance Computing Python C++ Qiskit PennyLane

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