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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 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 a Quantum AI Research Scientist, you'll architect next-gen algorithms that push the boundaries of computational possibility. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough innovations. Collaborate with Nobel laureates and industry disruptors in an environment where curiosity fuels progress. If you're ready to shape the future of technology, apply now.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for real-world applications
  • Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
  • Publish groundbreaking research in top-tier journals and conferences
  • Optimize quantum circuits for error correction and scalability
  • Translate complex mathematical models into executable quantum protocols
  • Collaborate with hardware engineers to align software with quantum processor capabilities
  • Secure patents for proprietary quantum AI methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years in quantum algorithm development or quantum machine learning
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Published research in quantum computing or AI at NeurIPS/ICML/APS
  • Expertise in linear algebra, probability theory, and computational complexity
  • Experience with high-performance computing and parallel processing
  • Demonstrated ability to lead technical research initiatives

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq Quantum Algorithms High-Performance Computing AI Research

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