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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-generation algorithms that redefine computational boundaries. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources, including a 128-qubit quantum processor and dedicated AI supercomputing clusters. We provide comprehensive benefits, flexible work arrangements, and a culture that rewards intellectual curiosity and bold innovation. If you're ready to shape the future of technology, this is your moment.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for high-dimensional data processing
  • Lead cross-functional teams in developing fault-tolerant quantum neural networks
  • Conduct cutting-edge research in quantum-inspired optimization techniques
  • Publish findings in top-tier journals and present at international conferences
  • Collaborate with hardware engineers to bridge quantum software-hardware interfaces
  • Secure and manage multi-million dollar research grants from government and private entities
  • Mentor junior researchers and contribute to patent development initiatives

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Published research in quantum machine learning or quantum algorithms
  • Proficiency in Python, TensorFlow, and high-performance computing environments
  • Demonstrated ability to translate complex theoretical concepts into practical implementations
  • Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
  • Strong background in linear algebra, probability theory, and computational complexity
  • Track record of securing competitive research funding or industry partnerships

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Cirq High-Performance Computing Quantum Algorithms Fault-Tolerant Systems AI Research Neural Networks Linear Algebra

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