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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Scientists to pioneer breakthroughs in computational intelligence. Work in our state-of-the-art facility alongside Nobel laureates and Turing Award winners, developing next-gen quantum algorithms that will redefine machine learning and cryptography.

What you'll achieve: Lead projects in quantum neural networks, optimize quantum supremacy applications, and publish in top-tier journals. Your work will directly impact global AI infrastructure and secure communications for Fortune 500 partners.

Responsibilities

  • Design and implement quantum machine learning models for real-world applications
  • Develop novel quantum algorithms outperforming classical systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Lead cross-functional research initiatives in quantum cryptography
  • Publish findings in peer-reviewed journals and present at conferences
  • Secure patents for proprietary quantum AI methodologies
  • Mentor junior researchers and contribute to open-source quantum projects

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in machine learning frameworks (PyTorch, TensorFlow)
  • Published research in quantum computing or AI (arXiv/IEEE)
  • Experience with superconducting or photonic quantum systems
  • Expertise in quantum error correction and fault tolerance techniques
  • Strong analytical skills with complex mathematical modeling abilities

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Quantum Cryptography Superconducting Systems Algorithm Design Research Methodology

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