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2026 Quantum AI Research Lead

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Lead to architect the next generation of hybrid quantum-artificial intelligence systems. You'll spearhead groundbreaking research in quantum machine learning, develop scalable algorithms for quantum supremacy, and pioneer applications that will redefine industries by 2026. This role offers unparalleled resources, including access to our 1000-qubit quantum computing cluster and $50M R&D budget. Be part of shaping humanity's technological future.

Responsibilities

  • Lead R&D initiatives in quantum-AI integration for 2026 deployment targets
  • Design and implement hybrid quantum-classical neural networks
  • Develop error-correction protocols for fault-tolerant quantum computing
  • Collaborate with DARPA and NASA on quantum-resistant cryptography projects
  • Publish 3+ peer-reviewed papers in Nature/Science journals annually
  • Mentor a team of 10+ quantum physicists and AI specialists
  • Secure $10M+ in government and private sector research grants

Qualifications

  • PhD in Quantum Computing, AI, or Theoretical Physics with 8+ years research experience
  • Published work in quantum machine learning or quantum supremacy
  • Expertise in Qiskit, Cirq, and TensorFlow Quantum frameworks
  • Proven track record of securing federal research funding (NSF/DARPA)
  • Deep understanding of quantum error correction and topological quantum computing
  • Experience leading cross-disciplinary technical teams of 15+ members
  • Patent portfolio with 5+ quantum/AI-related inventions
  • Fluency in Python, C++, and quantum assembly languages

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Quantum Machine Learning Qiskit Cirq TensorFlow Quantum Quantum Cryptography Theoretical Physics High-Performance Computing

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