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Quantum AI Researcher 2026

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration for 2026. We seek a visionary Quantum AI Researcher to architect breakthrough solutions that will redefine computational paradigms. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco hub, where your work will directly shape the future of artificial intelligence, quantum computing, and autonomous systems. This role offers unparalleled opportunities to publish groundbreaking research, lead cross-functional initiatives, and contribute to humanity's most ambitious technological milestones.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era computational challenges
  • Lead R&D initiatives in quantum neural networks and hybrid quantum-classical systems
  • Develop novel error-correction protocols for scalable quantum computing architectures
  • Collaborate with hardware teams to optimize quantum-AI co-design frameworks
  • Author peer-reviewed publications and present findings at premier conferences
  • Mentor junior researchers and drive innovation in quantum-AI ethics
  • Secure federal and industry funding for next-generation research projects

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
  • 5+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Proven track record of publishing in Nature/Science or top-tier ML conferences
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in deep learning frameworks (PyTorch/TensorFlow) and high-performance computing
  • Demonstrated ability to secure $1M+ in research grants
  • Fluency in Python, C++, and quantum circuit design

Required Skills

Quantum Computing Machine Learning Quantum Error Correction Qiskit Cirq Deep Learning High-Performance Computing Research Methodology

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