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2026 Quantum AI Research Lead

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

Job Description

Shape the future of artificial intelligence at Nexus Labs! We're seeking a visionary 2026 Quantum AI Research Lead to pioneer breakthrough technologies that will redefine human-machine collaboration. Join our elite team in San Francisco, where you'll develop next-generation quantum neural networks and hybrid AI systems capable of solving previously unsolvable computational challenges.

This is your opportunity to work with cutting-edge quantum hardware, publish groundbreaking research in Nature and Science, and mentor the next generation of quantum AI pioneers. We offer unparalleled resources, competitive equity packages, and a culture that celebrates intellectual curiosity and disruptive innovation.

Responsibilities

  • Lead development of quantum neural networks for advanced pattern recognition and predictive modeling
  • Design hybrid quantum-classical AI architectures for real-time decision optimization
  • Collaborate with quantum hardware teams to co-design next-generation computing platforms
  • Publish 4+ high-impact research papers annually in top-tier journals/conferences
  • Secure $2M+ in government/private research funding for 2026 initiatives
  • Mentor cross-disciplinary team of 8+ quantum AI researchers and engineers
  • Develop ethical frameworks for responsible quantum AI deployment

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics
  • 5+ years experience in quantum algorithm development and AI research
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Proven track record publishing in Nature/Science/NeurIPS/ICML
  • Strong background in quantum error correction and fault tolerance
  • Experience securing federal research grants (NSF/DARPA)
  • Expertise in Python, TensorFlow/PyTorch, and quantum simulation tools
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Machine Learning Neural Networks Quantum Algorithms Research Leadership Quantum Programming AI Ethics Grant Writing

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